1
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Twito R, Hadad BS, Szpiro S. Is she still angry? Intact learning but no updating of facial expressions priors in autism. Autism Res 2024; 17:934-946. [PMID: 38716802 DOI: 10.1002/aur.3145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 04/23/2024] [Indexed: 05/18/2024]
Abstract
Autistic people exhibit atypical use of prior information when processing simple perceptual stimuli; yet, it remains unclear whether and how these difficulties in using priors extend to complex social stimuli. Here, we compared autistic people without accompanying intellectual disability and nonautistic people in their ability to acquire an "emotional prior" of a facial expression and update this prior to a different facial expression of the same identity. Participants performed a two-interval same/different discrimination task between two facial expressions. To study the acquisition of the prior, we examined how discrimination was modified by the contraction of the perceived facial expressions toward the average of presented stimuli (i.e., regression to the mean). At first, facial expressions surrounded one average emotional prior (mostly sad or angry), and then the average switched (to mostly angry or sad, accordingly). Autistic people exhibited challenges in facial discrimination, and yet acquired the first prior, demonstrating typical regression-to-the-mean effects. However, unlike nonautistic people, autistic people did not update their perception to the second prior, suggesting they are less flexible in updating an acquired prior of emotional expressions. Our findings shed light on the perception of emotional expressions, one of the most pressing challenges in autism.
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Affiliation(s)
- Renana Twito
- Department of Special Education, University of Haifa, Haifa, Israel
| | - Bat-Sheva Hadad
- Department of Special Education, University of Haifa, Haifa, Israel
- Department of Special Education and The Edmond J. Safra Brain Research Center, University of Haifa, Haifa, Israel
| | - Sarit Szpiro
- Department of Special Education, University of Haifa, Haifa, Israel
- Department of Special Education and The Edmond J. Safra Brain Research Center, University of Haifa, Haifa, Israel
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2
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Greenspon CM, Shelchkova ND, Hobbs TG, Bensmaia SJ, Gaunt RA. Intracortical microstimulation of human somatosensory cortex is sufficient to induce perceptual biases. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.19.24305901. [PMID: 38712172 PMCID: PMC11071569 DOI: 10.1101/2024.04.19.24305901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Time-order error, a psychophysical phenomenon in which the duration in between successive stimuli alters perception, has been studied for decades by neuroscientists and psychologists. To date, however, the locus of these effects is unknown. We use intracortical microstimulation of somatosensory cortex in humans as a tool to bypass initial stages of processing and restrict the possible locations that signals could be modified. We find that, using both amplitude discrimination and magnitude estimation paradigms, intracortical microstimulation reliably evoked time-order errors across all participants. Points of subjective equality were symmetrically shifted during amplitude discrimination experiments and the intensity of a successive stimulus was perceived as being more intense when compared to single stimulus trials in magnitude estimation experiments. The error was reduced for both paradigms at longer inter-stimulus intervals. These results show that direct activation of primary somatosensory cortex is sufficient to induce time-order errors.
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Affiliation(s)
- Charles M. Greenspon
- Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL
| | | | - Taylor G. Hobbs
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
| | - Sliman J. Bensmaia
- Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL
- Committee on Computational Neuroscience, University of Chicago, Chicago, IL
- Neuroscience Institute, University of Chicago, Chicago, IL
| | - Robert A. Gaunt
- Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
- Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA
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3
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Baykan C, Zhu X, Zinchenko A, Shi Z. Blocked versus interleaved: How range contexts modulate time perception and its EEG signatures. Psychophysiology 2024:e14585. [PMID: 38594873 DOI: 10.1111/psyp.14585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 03/21/2024] [Accepted: 03/28/2024] [Indexed: 04/11/2024]
Abstract
Accurate time perception is a crucial element in a wide range of cognitive tasks, including decision-making, memory, and motor control. One commonly observed phenomenon is that when given a range of time intervals to consider, people's estimates often cluster around the midpoint of those intervals. Previous studies have suggested that the range of these intervals can also influence our judgments, but the neural mechanisms behind this "range effect" are not yet understood. We used both behavioral tests and electroencephalographic (EEG) measures to understand how the range of sample time intervals affects the accuracy of people's subsequent time estimates. Study participants were exposed to two different setups: In the "blocked-range" (BR) session, short and long intervals were presented in separate blocks, whereas in the "interleaved-range" (IR) session, intervals of various lengths were presented randomly. Our findings indicated that the BR context led to more accurate time estimates compared to the IR context. In terms of EEG data, the BR context resulted in quicker buildup of contingent negative variation (CNV), which also reached higher amplitude levels and dissolved more rapidly during the encoding stage. We also observed an enhanced amplitude in the offset P2 component of the EEG signal. Overall, our results suggest that the variability in time intervals, as defined by their range, influences the neural processes that underlie time estimation.
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Affiliation(s)
- Cemre Baykan
- General and Experimental Psychology, Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany
- General and Biological Psychology, Department of Psychology, Philipps-Universität Marburg, Marburg, Germany
| | - Xiuna Zhu
- General and Experimental Psychology, Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Artyom Zinchenko
- General and Experimental Psychology, Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Zhuanghua Shi
- General and Experimental Psychology, Department of Psychology, Ludwig-Maximilians-Universität München, Munich, Germany
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4
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Toussaint B, Heinzle J, Stephan KE. A computationally informed distinction of interoception and exteroception. Neurosci Biobehav Rev 2024; 159:105608. [PMID: 38432449 DOI: 10.1016/j.neubiorev.2024.105608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/23/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
Abstract
While interoception is of major neuroscientific interest, its precise definition and delineation from exteroception continue to be debated. Here, we propose a functional distinction between interoception and exteroception based on computational concepts of sensor-effector loops. Under this view, the classification of sensory inputs as serving interoception or exteroception depends on the sensor-effector loop they feed into, for the control of either bodily (physiological and biochemical) or environmental states. We explain the utility of this perspective by examining the perception of skin temperature, one of the most challenging cases for distinguishing between interoception and exteroception. Specifically, we propose conceptualising thermoception as inference about the thermal state of the body (including the skin), which is directly coupled to thermoregulatory processes. This functional view emphasises the coupling to regulation (control) as a defining property of perception (inference) and connects the definition of interoception to contemporary computational theories of brain-body interactions.
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Affiliation(s)
- Birte Toussaint
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland.
| | - Jakob Heinzle
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland
| | - Klaas Enno Stephan
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland; Max Planck Institute for Metabolism Research, Cologne, Germany
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5
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von Werder D, Regnath F, Schäfer D, Jörres R, Lehnen N, Glasauer S. Post-COVID breathlessness: a mathematical model of respiratory processing in the brain. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-023-01739-y. [PMID: 38502207 DOI: 10.1007/s00406-023-01739-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 12/11/2023] [Indexed: 03/21/2024]
Abstract
Breathlessness is among the most common post-COVID symptoms. In a considerable number of patients, severe breathlessness cannot be explained by peripheral organ impairment. Recent concepts have described how such persistent breathlessness could arise from dysfunctional processing of respiratory information in the brain. In this paper, we present a first quantitative and testable mathematical model of how processing of respiratory-related signals could lead to breathlessness perception. The model is based on recent theories that the brain holds an adaptive and dynamic internal representation of a respiratory state that is based on previous experiences and comprises gas exchange between environment, lung and tissue cells. Perceived breathlessness reflects the brain's estimate of this respiratory state signaling a potentially hazardous disequilibrium in gas exchange. The internal respiratory state evolves from the respiratory state of the last breath, is updated by a sensory measurement of CO2 concentration, and is dependent on the current activity context. To evaluate our model and thus test the assumed mechanism, we used data from an ongoing rebreathing experiment investigating breathlessness in patients with post-COVID without peripheral organ dysfunction (N = 5) and healthy control participants without complaints after COVID-19 (N = 5). Although the observed breathlessness patterns varied extensively between individual participants in the rebreathing experiment, our model shows good performance in replicating these individual, heterogeneous time courses. The model assumes the same underlying processes in the central nervous system in all individuals, i.e., also between patients and healthy control participants, and we hypothesize that differences in breathlessness are explained by different weighting and thus influence of these processes on the final percept. Our model could thus be applied in future studies to provide insight into where in the processing cascade of respiratory signals a deficit is located that leads to (post-COVID) breathlessness. A potential clinical application could be, e.g., the monitoring of effects of pulmonary rehabilitation on respiratory processing in the brain to improve the therapeutic strategies.
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Affiliation(s)
- Dina von Werder
- Institute of Medical Technology, Brandenburg University of Technology Cottbus-Senftenberg, Lipezker Strasse 47, 03048, Cottbus, Germany.
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität München, Munich, Germany.
- Klinikum rechts der Isar, Department of Psychosomatic Medicine and Psychotherapy, Technical University Munich, Munich, Germany.
| | - Franziska Regnath
- Klinikum rechts der Isar, Department of Psychosomatic Medicine and Psychotherapy, Technical University Munich, Munich, Germany
- TUM Graduate School, Faculty of Sport and Health Sciences, Technical University Munich, Munich, Germany
| | - Daniel Schäfer
- Klinikum rechts der Isar, Department of Psychosomatic Medicine and Psychotherapy, Technical University Munich, Munich, Germany
| | - Rudolf Jörres
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU, Munich, Germany
- Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Nadine Lehnen
- Institute of Medical Technology, Brandenburg University of Technology Cottbus-Senftenberg, Lipezker Strasse 47, 03048, Cottbus, Germany
- Klinikum rechts der Isar, Department of Psychosomatic Medicine and Psychotherapy, Technical University Munich, Munich, Germany
| | - Stefan Glasauer
- Institute of Medical Technology, Brandenburg University of Technology Cottbus-Senftenberg, Lipezker Strasse 47, 03048, Cottbus, Germany
- Faculty of Health Sciences Brandenburg, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, Germany
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6
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Benrimoh D, Fisher VL, Seabury R, Sibarium E, Mourgues C, Chen D, Powers A. Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample. Schizophr Bull 2024; 50:349-362. [PMID: 37830405 PMCID: PMC10919780 DOI: 10.1093/schbul/sbad136] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
BACKGROUND There is increasing evidence that people with hallucinations overweight perceptual beliefs relative to incoming sensory evidence. Past work demonstrating prior overweighting has used simple, nonlinguistic stimuli. However, auditory hallucinations in psychosis are often complex and linguistic. There may be an interaction between the type of auditory information being processed and its perceived quality in engendering hallucinations. STUDY DESIGN We administered a linguistic version of the conditioned hallucinations (CH) task to an online sample of 88 general population participants. Metrics related to hallucination-proneness, hallucination severity, stimulus thresholds, and stimulus detection rates were collected. Data were used to fit parameters of a Hierarchical Gaussian Filter (HGF) model of perceptual inference to determine how latent perceptual states influenced task behavior. STUDY RESULTS Replicating past results, higher CH rates were observed both in those with recent hallucinatory experiences as well as participants with high hallucination-proneness; CH rates were positively correlated with increased prior weighting; and increased prior weighting was related to hallucination severity. Unlike past results, participants with recent hallucinatory experiences as well as those with higher hallucination-proneness had higher stimulus thresholds, lower sensitivity to stimuli presented at the highest threshold, and had lower response confidence, consistent with lower precision of sensory evidence. CONCLUSIONS We replicate the finding that increased CH rates and recent hallucinations correlate with increased prior weighting using a linguistic version of the CH task. Results support a role for reduced sensory precision in the interplay between prior weighting and hallucination-proneness.
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Affiliation(s)
- David Benrimoh
- Department of Psychiatry, McGill University School of Medicine, Montreal, Canada
| | - Victoria L Fisher
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA
| | - Rashina Seabury
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA
| | - Ely Sibarium
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA
| | - Catalina Mourgues
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA
| | - Doris Chen
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA
| | - Albert Powers
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA
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7
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Delgado-Sanchez A, Charalambous C, Trujillo-Barreto NJ, Safi H, Jones A, Sivan M, Talmi D, Brown C. Test-retest reliability of Bayesian estimations of the effects of stimulation, prior information and individual traits on pain perception. Eur J Pain 2024; 28:434-453. [PMID: 37947114 DOI: 10.1002/ejp.2193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 09/29/2023] [Accepted: 10/09/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND There is inter-individual variability in the influence of different components (e.g. nociception and expectations) on pain perception. Identifying the individual effect of these components could serve for patient stratification, but only if these influences are stable in time. METHODS In this study, 30 healthy participants underwent a cognitive pain paradigm in which they rated pain after viewing a probabilistic cue informing of forthcoming pain intensity and then receiving electrical stimulation. The trial information was then used in a Bayesian probability model to compute the relative weight each participant put on stimulation, cue, cue uncertainty and trait-like bias. The same procedure was repeated 2 weeks later. Relative and absolute test-retest reliability of all measures was assessed. RESULTS Intraclass correlation results showed good reliability for the effect of the stimulation (0.83), the effect of the cue (0.75) and the trait-like bias (0.75 and 0.75), and a moderate reliability for the effect of the cue uncertainty (0.55). Absolute reliability measures also supported the temporal stability of the results and indicated that a change in parameters corresponding to a difference in pain ratings ranging between 0.47 and 1.45 (depending on the parameters) would be needed to consider differences in outcomes significant. The comparison of these measures with the closest clinical data we possess supports the reliability of our results. CONCLUSIONS These findings support the hypothesis that inter-individual differences in the weight placed on different pain factors are stable in time and could therefore be a possible target for patient stratification. SIGNIFICANCE Our results demonstrate the temporal stability of the weight healthy individuals place on the different factors leading to the pain response. These findings give validity to the idea of using Bayesian estimations of the influence of different factors on pain as a way to stratify patients for treatment personalization.
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Affiliation(s)
| | | | | | - Hannah Safi
- Department of Medical Physics, Salford Royal Foundation Trust, Northern Care Alliance, Salford, UK
- Department of Electrical and Electronic Engineering, School of Engineering, University of Manchester, Manchester, UK
| | - Anthony Jones
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Manoj Sivan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Deborah Talmi
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Christopher Brown
- Institute of Population Health, University of Liverpool and Human Pain Research Group, University of Liverpool, Liverpool, UK
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8
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Pavy F, Zaman J, Von Leupoldt A, Torta DM. Expectations underlie the effects of unpredictable pain: a behavioral and electroencephalogram study. Pain 2024; 165:596-607. [PMID: 37703404 DOI: 10.1097/j.pain.0000000000003046] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 07/20/2023] [Indexed: 09/15/2023]
Abstract
ABSTRACT Previous studies on the potential effects of unpredictability on pain perception and its neural correlates yielded divergent results. This study examined whether this may be explained by differences in acquired expectations. We presented 41 healthy volunteers with laser heat stimuli of different intensities. The stimuli were preceded either by predictable low, medium, or high cues or by unpredictable low-medium, medium-high, or low-high cues. We recorded self-reports of pain intensity and unpleasantness and laser-evoked potentials (LEPs). Furthermore, we investigated whether dynamic expectations that evolved throughout the experiment based on past trials were better predictors of pain ratings than fixed (nonevolving) expectations. Our results replicate previous findings that unpredictable pain is higher than predictable pain for low-intensity stimuli but lower for high-intensity stimuli. Moreover, we observed higher ratings for the medium-high unpredictable condition than the medium-low unpredictable condition, in line with an effect of expectation. We found significant interactions (N1, N2) for the LEP components between intensity and unpredictability. However, the few significant differences in LEP peak amplitudes between cue conditions did not survive correction for multiple testing. In line with predictive coding perspectives, pain ratings were best predicted by dynamic expectations. Surprisingly, expectations of reduced precision (increased variance) were associated with lower pain ratings. Our findings provide strong evidence that (dynamic) expectations contribute to the opposing effects of unpredictability on pain perception; therefore, we highlight the importance of controlling for them in pain unpredictability manipulations. We also suggest to conceptualize pain expectations more often as dynamic constructs incorporating previous experiences.
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Affiliation(s)
- Fabien Pavy
- Research Group Health Psychology, Faculty of Psychology and Educational Sciences, KU Leuven, Belgium
| | - Jonas Zaman
- Research Group Health Psychology, Faculty of Psychology and Educational Sciences, KU Leuven, Belgium
- Centre for the Psychology of Learning and Experimental Psychopathology, Faculty of Psychology and Educational Sciences, KU Leuven, Belgium
- School of Social Sciences, University of Hasselt, Hasselt, Belgium
| | - Andreas Von Leupoldt
- Research Group Health Psychology, Faculty of Psychology and Educational Sciences, KU Leuven, Belgium
| | - Diana M Torta
- Research Group Health Psychology, Faculty of Psychology and Educational Sciences, KU Leuven, Belgium
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9
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Olschewski S, Scheibehenne B. What's in a sample? Epistemic uncertainty and metacognitive awareness in risk taking. Cogn Psychol 2024; 149:101642. [PMID: 38401485 DOI: 10.1016/j.cogpsych.2024.101642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 02/01/2024] [Accepted: 02/13/2024] [Indexed: 02/26/2024]
Abstract
In a fundamentally uncertain world, sound information processing is a prerequisite for effective behavior. Given that information processing is subject to inevitable cognitive imprecision, decision makers should adapt to this imprecision and to the resulting epistemic uncertainty when taking risks. We tested this metacognitive ability in two experiments in which participants estimated the expected value of different number distributions from sequential samples and then bet on their own estimation accuracy. Results show that estimates were imprecise, and this imprecision increased with higher distributional standard deviations. Importantly, participants adapted their risk-taking behavior to this imprecision and hence deviated from the predictions of Bayesian models of uncertainty that assume perfect integration of information. To explain these results, we developed a computational model that combines Bayesian updating with a metacognitive awareness of cognitive imprecision in the integration of information. Modeling results were robust to the inclusion of an empirical measure of participants' perceived variability. In sum, we show that cognitive imprecision is crucial to understanding risk taking in decisions from experience. The results further demonstrate the importance of metacognitive awareness as a cognitive building block for adaptive behavior under (partial) uncertainty.
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Affiliation(s)
- Sebastian Olschewski
- Department of Psychology, University of Basel, Switzerland; Warwick Business School, University of Warwick, United Kingdom.
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10
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Lulav-Bash T, Avidan G, Hadad BS. Refinement of face representations by exposure reveals different time scales of biases in face processing. Psychon Bull Rev 2024; 31:196-208. [PMID: 37495928 DOI: 10.3758/s13423-023-02314-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2023] [Indexed: 07/28/2023]
Abstract
Experience modulates face processing abilities so that face discrimination and recognition improve with development, especially for more frequently experienced faces (e.g., own-race faces). Although advanced models describe how experience generally modulates perception, the mechanism by which exposure refines internal perceptual representations of faces is unknown. To address this issue, we investigated the effect of short- and long-term experienced stimulus history on face processing. Participants performed same-different judgments in a serial discrimination task where two consecutive faces were drawn from a distribution of morphed faces. Use of stimulus statistics was measured by testing the gravitation of face representations towards the mean of a range of morphed faces around which they were sampled (regression-to-the-mean). The results demonstrated regression of face representations towards the experienced mean and the retention of stimulus statistics over days. In trials where regression facilitated discrimination, the bias diminished the otherwise disadvantage of other-race over own-races faces. The dynamics of the perceptual bias, probed by trial-by-trial performance, further indicated different timescales of the bias, depending on perceptual expertise: people with weak face-recognition skills showed the use of a stable reference, built on long-term statistics accumulated over many trials, along with an updating of this reference by recent trials. In contrast, the strong face recognizers showed a different pattern where sequential effects mostly contributed to discrimination, with relatively minimal reliance on the long-term average for other-race faces. The findings suggest a mechanism by which exposure refines face representations and reveal, for the first time in adults, associations between levels of specialization of perceptual representations and the extent to which these representations become narrowly tuned.
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Affiliation(s)
- Tal Lulav-Bash
- Department of Special Education, Faculty of Education, University of Haifa, 199 Abba Khoushy Ave, 3498838, Haifa, Israel
- Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Galia Avidan
- Department of Psychology, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Bat-Sheva Hadad
- Department of Special Education, Faculty of Education, University of Haifa, 199 Abba Khoushy Ave, 3498838, Haifa, Israel.
- Edmond J. Safra Brain Research Center, University of Haifa, Haifa, Israel.
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11
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Cheng S, Chen S, Glasauer S, Keeser D, Shi Z. Neural mechanisms of sequential dependence in time perception: the impact of prior task and memory processing. Cereb Cortex 2024; 34:bhad453. [PMID: 38037371 DOI: 10.1093/cercor/bhad453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 11/02/2023] [Accepted: 11/04/2023] [Indexed: 12/02/2023] Open
Abstract
Our perception and decision-making are susceptible to prior context. Such sequential dependence has been extensively studied in the visual domain, but less is known about its impact on time perception. Moreover, there are ongoing debates about whether these sequential biases occur at the perceptual stage or during subsequent post-perceptual processing. Using functional magnetic resonance imaging, we investigated neural mechanisms underlying temporal sequential dependence and the role of action in time judgments across trials. Participants performed a timing task where they had to remember the duration of green coherent motion and were cued to either actively reproduce its duration or simply view it passively. We found that sequential biases in time perception were only evident when the preceding task involved active duration reproduction. Merely encoding a prior duration without reproduction failed to induce such biases. Neurally, we observed activation in networks associated with timing, such as striato-thalamo-cortical circuits, and performance monitoring networks, particularly when a "Response" trial was anticipated. Importantly, the hippocampus showed sensitivity to these sequential biases, and its activation negatively correlated with the individual's sequential bias following active reproduction trials. These findings highlight the significant role of memory networks in shaping time-related sequential biases at the post-perceptual stages.
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Affiliation(s)
- Si Cheng
- General and Experimental Psychology, Department of Psychology, Ludwig-Maximilians-Universität München, Leopoldstraße 13, 80802, Munich, Germany
| | - Siyi Chen
- General and Experimental Psychology, Department of Psychology, Ludwig-Maximilians-Universität München, Leopoldstraße 13, 80802, Munich, Germany
| | - Stefan Glasauer
- Computational Neuroscience, Institute of Medical Technology, Brandenburg University of Technology Cottbus-Senftenberg, Lipezker Straße 47, 03048, Cottbus, Germany
| | - Daniel Keeser
- NeuroImaging Core Unit Munich (NICUM), Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Nußbaumstraße 7, 80336, Munich, Germany
| | - Zhuanghua Shi
- General and Experimental Psychology, Department of Psychology, Ludwig-Maximilians-Universität München, Leopoldstraße 13, 80802, Munich, Germany
- NeuroImaging Core Unit Munich (NICUM), Department of Psychiatry and Psychotherapy, Ludwig-Maximilians-Universität München, Nußbaumstraße 7, 80336, Munich, Germany
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12
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Frissen I, Chen AN. Humans can sense large numbers of objects in a box by touch alone. Perception 2024; 53:17-30. [PMID: 37859336 PMCID: PMC10798026 DOI: 10.1177/03010066231207324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Accepted: 09/27/2023] [Indexed: 10/21/2023]
Abstract
Everyday experiences suggest that a container, such as a box of cereal, can convey pertinent information about the nature and quantity of its content. This study investigated how well people can judge large quantities of objects in a container through haptic perception. Stimuli consisted of plastic drinking straws cut to "small" (1.5 cm) or "big" (4.5 cm) pieces contained in plastic food containers. Participants performed both a magnitude estimation of the number of objects and a direct estimation of the proportion of the container perceived to be filled with objects. Overall, participants demonstrated considerable accuracy for both tasks and irrespective of the size of the content. Post-experiment interviews revealed three potential strategies. Participants either focused on the container's contents, the excess space in the container, or the perceived weight of the container (content).
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13
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Rhodes D, Bridgewater T, Ayache J, Riemer M. Rapid calibration to dynamic temporal contexts. Q J Exp Psychol (Hove) 2023:17470218231219507. [PMID: 38017605 DOI: 10.1177/17470218231219507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
The prediction of future events and the preparation of appropriate behavioural reactions rely on an accurate perception of temporal regularities. In dynamic environments, temporal regularities are subject to slow and sudden changes, and adaptation to these changes is an important requirement for efficient behaviour. Bayesian models have proven a useful tool to understand the processing of temporal regularities in humans; yet an open question pertains to the degree of flexibility of the prior that is required for optimal modelling of behaviour. Here we directly compare dynamic models (with continuously changing prior expectations) and static models (a stable prior for each experimental session) with their ability to describe regression effects in interval timing. Our results show that dynamic Bayesian models are superior when describing the responses to slow, continuous environmental changes, whereas static models are more suitable to describe responses to sudden changes. In time perception research, these results will be informative for the choice of adequate computational models and enhance our understanding of the neuronal computations underlying human timing behaviour.
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Affiliation(s)
| | - Tyler Bridgewater
- NTU Psychology, Nottingham Trent University, Nottingham, UK
- School of Psychology, Cardiff University, UK
| | - Julia Ayache
- NTU Psychology, Nottingham Trent University, Nottingham, UK
| | - Martin Riemer
- Biological Psychology and Neuroergonomics, Technical University Berlin, Berlin, Germany
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14
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Baykan C, Zhu X, Allenmark F, Shi Z. Influences of temporal order in temporal reproduction. Psychon Bull Rev 2023; 30:2210-2218. [PMID: 37291447 PMCID: PMC10728249 DOI: 10.3758/s13423-023-02310-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2023] [Indexed: 06/10/2023]
Abstract
Despite the crucial role of complex temporal sequences, such as speech and music, in our everyday lives, our ability to acquire and reproduce these patterns is prone to various contextual biases. In this study, we examined how the temporal order of auditory sequences affects temporal reproduction. Participants were asked to reproduce accelerating, decelerating or random sequences, each consisting of four intervals, by tapping their fingers. Our results showed that the reproduction and the reproduction variability were influenced by the sequential structure and interval orders. The mean reproduced interval was assimilated by the first interval of the sequence, with the lowest mean for decelerating and the highest for accelerating sequences. Additionally, the central tendency bias was affected by the volatility and the last interval of the sequence, resulting in a stronger central tendency in the random and decelerating sequences than the accelerating sequence. Using Bayesian integration between the ensemble mean of the sequence and individual durations and considering the perceptual uncertainty associated with the sequential structure and position, we were able to accurately predict the behavioral results. The findings highlight the critical role of the temporal order of a sequence in temporal pattern reproduction, with the first interval exerting greater influence on mean reproduction and the volatility and the last interval contributing to the perceptual uncertainty of individual intervals and the central tendency bias.
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Affiliation(s)
- Cemre Baykan
- General and Experimental Psychology, Department of Psychology, Ludwig Maximilian University of Munich, 80802, Munich, Germany.
| | - Xiuna Zhu
- General and Experimental Psychology, Department of Psychology, Ludwig Maximilian University of Munich, 80802, Munich, Germany
| | - Fredrik Allenmark
- General and Experimental Psychology, Department of Psychology, Ludwig Maximilian University of Munich, 80802, Munich, Germany
| | - Zhuanghua Shi
- General and Experimental Psychology, Department of Psychology, Ludwig Maximilian University of Munich, 80802, Munich, Germany
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15
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Miller LE, Fabio C, de Vignemont F, Roy A, Medendorp WP, Farnè A. A Somatosensory Computation That Unifies Limbs and Tools. eNeuro 2023; 10:ENEURO.0095-23.2023. [PMID: 37848289 PMCID: PMC10668222 DOI: 10.1523/eneuro.0095-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 09/13/2023] [Accepted: 09/25/2023] [Indexed: 10/19/2023] Open
Abstract
It is often claimed that tools are embodied by their user, but whether the brain actually repurposes its body-based computations to perform similar tasks with tools is not known. A fundamental computation for localizing touch on the body is trilateration. Here, the location of touch on a limb is computed by integrating estimates of the distance between sensory input and its boundaries (e.g., elbow and wrist of the forearm). As evidence of this computational mechanism, tactile localization on a limb is most precise near its boundaries and lowest in the middle. Here, we show that the brain repurposes trilateration to localize touch on a tool, despite large differences in initial sensory input compared with touch on the body. In a large sample of participants, we found that localizing touch on a tool produced the signature of trilateration, with highest precision close to the base and tip of the tool. A computational model of trilateration provided a good fit to the observed localization behavior. To further demonstrate the computational plausibility of repurposing trilateration, we implemented it in a three-layer neural network that was based on principles of probabilistic population coding. This network determined hit location in tool-centered coordinates by using a tool's unique pattern of vibrations when contacting an object. Simulations demonstrated the expected signature of trilateration, in line with the behavioral patterns. Our results have important implications for how trilateration may be implemented by somatosensory neural populations. We conclude that trilateration is likely a fundamental spatial computation that unifies limbs and tools.
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Affiliation(s)
- Luke E Miller
- Integrative Multisensory Perception Action and Cognition Team-ImpAct, Lyon Neuroscience Research Center, Institut National de la Santé et de la Recherche Médicale Unité 1028, Centre National de la Recherche Scientifique Unité 5292, 69500 Bron, France
- UCBL, University of Lyon 1, 69100 Villeurbanne, France
- Neuro-immersion, Hospices Civils de Lyon, 69500 Bron, France
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 GD, Nijmegen, The Netherlands
| | - Cécile Fabio
- Integrative Multisensory Perception Action and Cognition Team-ImpAct, Lyon Neuroscience Research Center, Institut National de la Santé et de la Recherche Médicale Unité 1028, Centre National de la Recherche Scientifique Unité 5292, 69500 Bron, France
- UCBL, University of Lyon 1, 69100 Villeurbanne, France
- Neuro-immersion, Hospices Civils de Lyon, 69500 Bron, France
| | - Frédérique de Vignemont
- Institut Jean Nicod, Department of Cognitive Studies, Ecole Normale Superieure, Paris Sciences et Lettres University, 75005 Paris, France
| | - Alice Roy
- Laboratoire Dynamique du Langage, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5596, 69007 Lyon, France
| | - W Pieter Medendorp
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, 6525 GD, Nijmegen, The Netherlands
| | - Alessandro Farnè
- Integrative Multisensory Perception Action and Cognition Team-ImpAct, Lyon Neuroscience Research Center, Institut National de la Santé et de la Recherche Médicale Unité 1028, Centre National de la Recherche Scientifique Unité 5292, 69500 Bron, France
- UCBL, University of Lyon 1, 69100 Villeurbanne, France
- Neuro-immersion, Hospices Civils de Lyon, 69500 Bron, France
- Center for Mind/Brain Sciences, University of Trento, 38068 Rovereto, Italy
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16
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Newman PM, Qi Y, Mou W, McNamara TP. Statistically Optimal Cue Integration During Human Spatial Navigation. Psychon Bull Rev 2023; 30:1621-1642. [PMID: 37038031 DOI: 10.3758/s13423-023-02254-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2023] [Indexed: 04/12/2023]
Abstract
In 2007, Cheng and colleagues published their influential review wherein they analyzed the literature on spatial cue interaction during navigation through a Bayesian lens, and concluded that models of optimal cue integration often applied in psychophysical studies could explain cue interaction during navigation. Since then, numerous empirical investigations have been conducted to assess the degree to which human navigators are optimal when integrating multiple spatial cues during a variety of navigation-related tasks. In the current review, we discuss the literature on human cue integration during navigation that has been published since Cheng et al.'s original review. Evidence from most studies demonstrate optimal navigation behavior when humans are presented with multiple spatial cues. However, applications of optimal cue integration models vary in their underlying assumptions (e.g., uninformative priors and decision rules). Furthermore, cue integration behavior depends in part on the nature of the cues being integrated and the navigational task (e.g., homing versus non-home goal localization). We discuss the implications of these models and suggest directions for future research.
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Affiliation(s)
- Phillip M Newman
- Department of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37240, USA.
| | - Yafei Qi
- Department of Psychology, P-217 Biological Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
| | - Weimin Mou
- Department of Psychology, P-217 Biological Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada
| | - Timothy P McNamara
- Department of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37240, USA
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17
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Kopiske K, Heinrich EM, Jahn G, Bendixen A, Einhäuser W. Multisensory cues for walking in virtual reality: humans combine conflicting visual and self-motion information to reproduce distances. J Neurophysiol 2023; 130:1028-1040. [PMID: 37701952 DOI: 10.1152/jn.00011.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 08/30/2023] [Accepted: 09/06/2023] [Indexed: 09/14/2023] Open
Abstract
When humans walk, it is important for them to have some measure of the distance they have traveled. Typically, many cues from different modalities are available, as humans perceive both the environment around them (for example, through vision and haptics) and their own walking. Here, we investigate the contribution of visual cues and nonvisual self-motion cues to distance reproduction when walking on a treadmill through a virtual environment by separately manipulating the speed of a treadmill belt and of the virtual environment. Using mobile eye tracking, we also investigate how our participants sampled the visual information through gaze. We show that, as predicted, both modalities affected how participants (N = 28) reproduced a distance. Participants weighed nonvisual self-motion cues more strongly than visual cues, corresponding also to their respective reliabilities, but with some interindividual variability. Those who looked more toward those parts of the visual scene that contained cues to speed and distance tended also to weigh visual information more strongly, although this correlation was nonsignificant, and participants generally directed their gaze toward visually informative areas of the scene less than expected. As measured by motion capture, participants adjusted their gait patterns to the treadmill speed but not to walked distance. In sum, we show in a naturalistic virtual environment how humans use different sensory modalities when reproducing distances and how the use of these cues differs between participants and depends on information sampling.NEW & NOTEWORTHY Combining virtual reality with treadmill walking, we measured the relative importance of visual cues and nonvisual self-motion cues for distance reproduction. Participants used both cues but put more weight on self-motion; weight on visual cues had a trend to correlate with looking at visually informative areas. Participants overshot distances, especially when self-motion was slow; they adjusted steps to self-motion cues but not to visual cues. Our work thus quantifies the multimodal contributions to distance reproduction.
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Affiliation(s)
- Karl Kopiske
- Cognitive Systems Lab, Institute of Physics, Chemnitz University of Technology, Chemnitz, Germany
| | - Elisa-Maria Heinrich
- Cognitive Systems Lab, Institute of Physics, Chemnitz University of Technology, Chemnitz, Germany
- Physics of Cognition Group, Institute of Physics, Chemnitz University of Technology, Chemnitz, Germany
| | - Georg Jahn
- Applied Geropsychology and Cognition, Faculty of Behavioural and Social Sciences, Chemnitz University of Technology, Chemnitz, Germany
| | - Alexandra Bendixen
- Cognitive Systems Lab, Institute of Physics, Chemnitz University of Technology, Chemnitz, Germany
| | - Wolfgang Einhäuser
- Physics of Cognition Group, Institute of Physics, Chemnitz University of Technology, Chemnitz, Germany
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18
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Li L, Hou C, Peng C, Chen Y. Encoding, working memory, or decision: how feedback modulates time perception. Cereb Cortex 2023; 33:10355-10366. [PMID: 37522300 DOI: 10.1093/cercor/bhad287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 07/10/2023] [Indexed: 08/01/2023] Open
Abstract
The hypothesis that individuals can accurately represent temporal information within approximately 3 s is the premise of several theoretical models and empirical studies in the field of temporal processing. The significance of accurately representing time within 3 s and the universality of the overestimation contrast dramatically. To clarify whether this overestimation arises from an inability to accurately represent time or a response bias, we systematically examined whether feedback reduces overestimation at the 3 temporal processing stages of timing (encoding), working memory, and decisions proposed by the scalar timing model. Participants reproduced the time interval between 2 circles with or without feedback, while the electroencephalogram (EEG) was synchronously recorded. Behavioral results showed that feedback shortened reproduced times and significantly minimized overestimation. EEG results showed that feedback significantly decreased the amplitude of contingent negative variation (CNV) in the decision stage but did not modulate the CNV amplitude in the encoding stage or the P2-P3b amplitudes in the working memory stage. These results suggest that overestimation arises from response bias when individuals convert an accurate representation of time into behavior. Our study provides electrophysiological evidence to support the conception that short intervals under approximately 3 s can be accurately represented as "temporal gestalt."
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Affiliation(s)
- Langyu Li
- Key Laboratory of Cognition and Personality (Ministry of Education), Faculty of Psychology, Time Psychology Research Center, Center of Studies for Psychology and Social Development, Southwest University, Chongqing 400715, China
| | - Chunna Hou
- Key Laboratory of Cognition and Personality (Ministry of Education), Faculty of Psychology, Time Psychology Research Center, Center of Studies for Psychology and Social Development, Southwest University, Chongqing 400715, China
| | - Chunhua Peng
- Chongqing Key Laboratory of Emotion and Mental Health, Chongqing University of Arts and Sciences, Chongqing 402160, China
| | - Youguo Chen
- Key Laboratory of Cognition and Personality (Ministry of Education), Faculty of Psychology, Time Psychology Research Center, Center of Studies for Psychology and Social Development, Southwest University, Chongqing 400715, China
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19
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Pérez O, Delle Monache S, Lacquaniti F, Bosco G, Merchant H. Rhythmic tapping to a moving beat motion kinematics overrules natural gravity. iScience 2023; 26:107543. [PMID: 37744410 PMCID: PMC10517406 DOI: 10.1016/j.isci.2023.107543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/30/2023] [Accepted: 08/01/2023] [Indexed: 09/26/2023] Open
Abstract
Beat induction is the cognitive ability that allows humans to listen to a regular pulse in music and move in synchrony with it. Although auditory rhythmic cues induce more consistent synchronization than flashing visual metronomes, this auditory-visual asymmetry can be canceled by visual moving stimuli. Here, we investigated whether the naturalness of visual motion or its kinematics could provide a synchronization advantage over flashing metronomes. Subjects were asked to tap in sync with visual metronomes defined by vertically accelerating/decelerating motion, either congruent or not with natural gravity; horizontally accelerating/decelerating motion; or flashing stimuli. We found that motion kinematics was the predominant factor determining rhythm synchronization, as accelerating moving metronomes in any cardinal direction produced more precise and predictive tapping than decelerating or flashing conditions. Our results support the notion that accelerating visual metronomes convey a strong sense of beat, as seen in the cueing movements of an orchestra director.
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Affiliation(s)
- Oswaldo Pérez
- Escuela Nacional de Estudios Superiores Unidad Juriquilla, Universidad Nacional Autónoma de México, Boulevard Juriquilla No. 3001, Querétaro, Qro 76230, México
| | - Sergio Delle Monache
- Laboratory of Visuomotor Control and Gravitational Physiology, IRCCS Fondazione Santa Lucia, 00179 Rome, Italy
- Department of Civil Engineering and Computer Science Engineering, University of Rome Tor Vergata, 00133 Rome, Italy
| | - Francesco Lacquaniti
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Centre of Space Bio-medicine, University of Rome “Tor Vergata”, Rome, Italy
- Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Gianfranco Bosco
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
- Centre of Space Bio-medicine, University of Rome “Tor Vergata”, Rome, Italy
- Laboratory of Neuromotor Physiology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Hugo Merchant
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Campus Juriquilla, Boulevard Juriquilla No. 3001, Querétaro, Qro 76230, México
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20
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Barretto-García M, de Hollander G, Grueschow M, Polanía R, Woodford M, Ruff CC. Individual risk attitudes arise from noise in neurocognitive magnitude representations. Nat Hum Behav 2023; 7:1551-1567. [PMID: 37460762 DOI: 10.1038/s41562-023-01643-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 05/25/2023] [Indexed: 09/23/2023]
Abstract
Humans are generally risk averse, preferring smaller certain over larger uncertain outcomes. Economic theories usually explain this by assuming concave utility functions. Here, we provide evidence that risk aversion can also arise from relative underestimation of larger monetary payoffs, a perceptual bias rooted in the noisy logarithmic coding of numerical magnitudes. We confirmed this with psychophysics and functional magnetic resonance imaging, by measuring behavioural and neural acuity of magnitude representations during a magnitude perception task and relating these measures to risk attitudes during separate risky financial decisions. Computational modelling indicated that participants use similar mental magnitude representations in both tasks, with correlated precision across perceptual and risky choices. Participants with more precise magnitude representations in parietal cortex showed less variable behaviour and less risk aversion. Our results highlight that at least some individual characteristics of economic behaviour can reflect capacity limitations in perceptual processing rather than processes that assign subjective values to monetary outcomes.
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Affiliation(s)
- Miguel Barretto-García
- Zurich Center for Neuroeconomics, Department of Economics, University of Zürich, Zurich, Switzerland.
- Department of Neuroscience, School of Medicine, Washington University in St Louis, St. Louis, MO, USA.
| | - Gilles de Hollander
- Zurich Center for Neuroeconomics, Department of Economics, University of Zürich, Zurich, Switzerland
- University Research Priority Program 'Adaptive Brain Circuits in Development and Learning' (URPP AdaBD), University of Zurich, Zurich, Switzerland
| | - Marcus Grueschow
- Zurich Center for Neuroeconomics, Department of Economics, University of Zürich, Zurich, Switzerland
| | - Rafael Polanía
- Decision Neuroscience Laboratory, Department of Health Sciences and Technology, ETH Zürich, Zurich, Switzerland
| | | | - Christian C Ruff
- Zurich Center for Neuroeconomics, Department of Economics, University of Zürich, Zurich, Switzerland.
- University Research Priority Program 'Adaptive Brain Circuits in Development and Learning' (URPP AdaBD), University of Zurich, Zurich, Switzerland.
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21
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Kreyenmeier P, Schroeger A, Cañal-Bruland R, Raab M, Spering M. Rapid Audiovisual Integration Guides Predictive Actions. eNeuro 2023; 10:ENEURO.0134-23.2023. [PMID: 37591732 PMCID: PMC10464656 DOI: 10.1523/eneuro.0134-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/19/2023] [Accepted: 07/22/2023] [Indexed: 08/19/2023] Open
Abstract
Natural movements, such as catching a ball or capturing prey, typically involve multiple senses. Yet, laboratory studies on human movements commonly focus solely on vision and ignore sound. Here, we ask how visual and auditory signals are integrated to guide interceptive movements. Human observers tracked the brief launch of a simulated baseball, randomly paired with batting sounds of varying intensities, and made a quick pointing movement at the ball. Movement end points revealed systematic overestimation of target speed when the ball launch was paired with a loud versus a quiet sound, although sound was never informative. This effect was modulated by the availability of visual information; sounds biased interception when the visual presentation duration of the ball was short. Amplitude of the first catch-up saccade, occurring ∼125 ms after target launch, revealed early integration of audiovisual information for trajectory estimation. This sound-induced bias was reversed during later predictive saccades when more visual information was available. Our findings suggest that auditory and visual signals are integrated to guide interception and that this integration process must occur early at a neural site that receives auditory and visual signals within an ultrashort time span.
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Affiliation(s)
- Philipp Kreyenmeier
- Department of Ophthalmology & Visual Sciences, University of British Columbia, Vancouver, British Colombia V5Z 3N9, Canada
- Graduate Program in Neuroscience, University of British Columbia, Vancouver, British Colombia V6T 1Z2, Canada
| | - Anna Schroeger
- Department of Psychology, Justus Liebig University Giessen, 35390 Giessen, Germany
- Department for the Psychology of Human Movement and Sport, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Rouwen Cañal-Bruland
- Department for the Psychology of Human Movement and Sport, Friedrich Schiller University Jena, 07743 Jena, Germany
| | - Markus Raab
- Department of Performance Psychology, German Sport University Cologne, 50933 Cologne, Germany
- School of Applied Sciences, London South Bank University, London SE1 0AA, United Kingdom
| | - Miriam Spering
- Department of Ophthalmology & Visual Sciences, University of British Columbia, Vancouver, British Colombia V5Z 3N9, Canada
- Graduate Program in Neuroscience, University of British Columbia, Vancouver, British Colombia V6T 1Z2, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Colombia V6T 1Z3, Canada
- Institute for Computing, Information, and Cognitive Systems, University of British Columbia, Vancouver, British Colombia V6T 1Z4, Canada
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22
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Benozzo D, Ferrucci L, Genovesio A. Effects of contraction bias on the decision process in the macaque prefrontal cortex. Cereb Cortex 2023; 33:2958-2968. [PMID: 35718538 DOI: 10.1093/cercor/bhac253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 05/30/2022] [Accepted: 05/30/2022] [Indexed: 11/14/2022] Open
Abstract
Our representation of magnitudes such as time, distance, and size is not always veridical because it is affected by multiple biases. From a Bayesian perspective, estimation errors are considered to be the result of an optimization mechanism for the behavior in a noisy environment by integrating previous experience with the incoming sensory information. One influence of the distribution of past stimuli on perceptual decisions is represented by the regression toward the mean, a type of contraction bias. Using a spatial discrimination task with 2 stimuli presented sequentially at different distances from the center, we show that this bias is also present in macaques when comparing the magnitude of 2 distances. We found that the contraction of the first stimulus magnitude toward the center of the distribution accounted for some of the changes in performance, even more so than the effect of difficulty related to the ratio between stimulus magnitudes. At the neural level in the dorsolateral prefrontal cortex, the coding of the decision after the presentation of the second stimulus reflected the effect of the contraction bias on the discriminability of the stimuli at the behavioral level.
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Affiliation(s)
- Danilo Benozzo
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Lorenzo Ferrucci
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Aldo Genovesio
- Department of Physiology and Pharmacology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
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23
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Aulet LS, Lourenco SF. No intrinsic number bias: Evaluating the role of perceptual discriminability in magnitude categorization. Dev Sci 2023; 26:e13305. [PMID: 35851738 DOI: 10.1111/desc.13305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 04/13/2022] [Accepted: 07/05/2022] [Indexed: 01/29/2023]
Abstract
Accumulating evidence suggests that there is a spontaneous preference for numerical, compared to non-numerical (e.g., cumulative surface area), information. However, given a paucity of research on the perception of non-numerical magnitudes, it is unclear whether this preference reflects a specific bias towards number, or a general bias towards the more perceptually discriminable dimension (i.e., number). Here, we found that when the number and area of visual dot displays were matched in mathematical ratio, number was more perceptually discriminable than area in both adults and children. Moreover, both adults and children preferentially categorized these ratio-matched stimuli based on number, consistent with previous work. However, when number and area were matched in perceptual discriminability, a different pattern of results emerged. In particular, children preferentially categorized stimuli based on area, suggesting that children's previously observed number bias may be due to a mismatch in the perceptual discriminability of number and area, not an intrinsic salience of number. Interestingly, adults continued to categorize the displays on the basis of number. Altogether, these findings suggest a dominant role for area during childhood, refuting the claim that number is inherently and uniquely salient. Yet they also reveal an increased salience of number that emerges over development. Potential explanations for this developmental shift are discussed. RESEARCH HIGHLIGHTS: Previous work found that children and adults spontaneously categorized dot array stimuli by number, over other magnitudes (e.g., area), suggesting number is uniquely salient. However, here we found that when number and area were matched by ratio, as in prior work, number was significantly more perceptually discriminable than area. When number and area were made equally discriminable ('perceptually-matched'), children, contra adults, spontaneously categorized stimuli by area over number (and other non-numerical magnitudes). These findings suggest that area may be uniquely salient early in childhood, with the previously-observed number bias not emerging until later in development.
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Affiliation(s)
- Lauren S Aulet
- Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
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24
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Montoye AHK, Vondrasek JD, Neph SE. Validation of the SmartPlate for detecting food weight and type. Int J Food Sci Nutr 2023; 74:22-32. [PMID: 36476219 DOI: 10.1080/09637486.2022.2151987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
This study determined accuracy (comparing to criterion), inter-plate reliability (comparing measures between two plates), and intra-plate reliability (comparing successive measures on one plate) of the SmartPlate for food weight and type. Food weight validation included comparing SmartPlate weights to criterion [reference] scale weights (1,980 measures) and weights of 188 foods (2,256 measures). Food type validation included assessing SmartPlate accuracy for 188 foods. For weight, mean absolute percent errors for accuracy, inter-plate reliability, and intra-plate reliability were 6.2, 7.4, and 4.9%, respectively. For food type, foods were correctly identified/listed or searchable 67.0 or 98.9% of the time, respectively, with 76.0% inter-plate reliability and 86.3% intra-plate reliability. The SmartPlate had acceptable accuracy and reliability for assessing food weight and type and may be appealing for monitoring dietary surveillance or intervention. Due to high intra-plate reliability, the SmartPlate may be especially useful for one-on-one interventions and assessing change over time.
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Affiliation(s)
- Alexander H K Montoye
- Department of Integrative Physiology and Health Science, Alma College, Alma, MI, USA
| | - Joseph D Vondrasek
- Department of Integrative Physiology and Health Science, Alma College, Alma, MI, USA.,Department of Health Sciences and Kinesiology, Georgia Southern University, Savannah, GA, USA
| | - Sylvia E Neph
- Department of Integrative Physiology and Health Science, Alma College, Alma, MI, USA
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25
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Individual treatment expectations predict clinical outcome after lumbar injections against low back pain. Pain 2023; 164:132-141. [PMID: 35543638 DOI: 10.1097/j.pain.0000000000002674] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 04/15/2022] [Indexed: 01/09/2023]
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26
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Ganel T, Sofer C, Goodale MA. Biases in human perception of facial age are present and more exaggerated in current AI technology. Sci Rep 2022; 12:22519. [PMID: 36581653 PMCID: PMC9800363 DOI: 10.1038/s41598-022-27009-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 12/23/2022] [Indexed: 12/30/2022] Open
Abstract
Our estimates of a person's age from their facial appearance suffer from several well-known biases and inaccuracies. Typically, for example, we tend to overestimate the age of smiling faces compared to those with a neutral expression, and the accuracy of our estimates decreases for older faces. The growing interest in age estimation using artificial intelligence (AI) technology raises the question of how AI compares to human performance and whether it suffers from the same biases. Here, we compared human performance with the performance of a large sample of the most prominent AI technology available today. The results showed that AI is even less accurate and more biased than human observers when judging a person's age-even though the overall pattern of errors and biases is similar. Thus, AI overestimated the age of smiling faces even more than human observers did. In addition, AI showed a sharper decrease in accuracy for faces of older adults compared to faces of younger age groups, for smiling compared to neutral faces, and for female compared to male faces. These results suggest that our estimates of age from faces are largely driven by particular visual cues, rather than high-level preconceptions. Moreover, the pattern of errors and biases we observed could provide some insights for the design of more effective AI technology for age estimation from faces.
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Affiliation(s)
- Tzvi Ganel
- grid.7489.20000 0004 1937 0511Department of Psychology, Ben-Gurion University of the Negev, 8410500 Beer-Sheva, Israel
| | - Carmel Sofer
- grid.7489.20000 0004 1937 0511Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, 8410500 Beer-Sheva, Israel ,grid.7489.20000 0004 1937 0511Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, 8410500 Beer-Sheva, Israel
| | - Melvyn A. Goodale
- grid.39381.300000 0004 1936 8884The Western Institute for Neuroscience, The University of Western Ontario, London, ON N6A 5B7 Canada
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27
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Willemsen SCMJ, Oostwoud Wijdenes L, van Beers RJ, Koppen M, Medendorp WP. Natural statistics of head roll: implications for Bayesian inference in spatial orientation. J Neurophysiol 2022; 128:1409-1420. [PMID: 36321734 DOI: 10.1152/jn.00375.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
We previously proposed a Bayesian model of multisensory integration in spatial orientation (Clemens IAH, de Vrijer M, Selen LPJ, van Gisbergen JAM, Medendorp WP. J Neurosci 31: 5365-5377, 2011). Using a Gaussian prior, centered on an upright head orientation, this model could explain various perceptual observations in roll-tilted participants, such as the subjective visual vertical, the subjective body tilt (Clemens IAH, de Vrijer M, Selen LPJ, van Gisbergen JAM, Medendorp WP. J Neurosci 31: 5365-5377, 2011), the rod-and-frame effect (Alberts BBGT, de Brouwer AJ, Selen LPJ, Medendorp WP. eNeuro 3: ENEURO.0093-16.2016, 2016), as well as their clinical (Alberts BBGT, Selen LPJ, Verhagen WIM, Medendorp WP. Physiol Rep 3: e12385, 2015) and age-related deficits (Alberts BBGT, Selen LPJ, Medendorp WP. J Neurophysiol 121: 1279-1288, 2019). Because it is generally assumed that the prior reflects an accumulated history of previous head orientations, and recent work on natural head motion suggests non-Gaussian statistics, we examined how the model would perform with a non-Gaussian prior. In the present study, we first experimentally generalized the previous observations in showing that also the natural statistics of head orientation are characterized by long tails, best quantified as a t-location-scale distribution. Next, we compared the performance of the Bayesian model and various model variants using such a t-distributed prior to the original model with the Gaussian prior on their accounts of previously published data of the subjective visual vertical and subjective body tilt tasks. All of these variants performed substantially worse than the original model, suggesting a special value of the Gaussian prior. We provide computational and neurophysiological reasons for the implementation of such a prior, in terms of its associated precision-accuracy trade-off in vertical perception across the tilt range.NEW & NOTEWORTHY It has been argued that the brain uses Bayesian computations to process multiple sensory cues in vertical perception, including a prior centered on upright head orientation which is usually taken to be Gaussian. Here, we show that non-Gaussian prior distributions, although more akin to the statistics of head orientation during natural activities, provide a much worse explanation of such perceptual observations than a Gaussian prior.
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Affiliation(s)
- Sophie C M J Willemsen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Leonie Oostwoud Wijdenes
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Robert J van Beers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Mathieu Koppen
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - W Pieter Medendorp
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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28
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Gür E, Duyan YA, Balcı F. Mice make temporal inferences about novel locations based on previously learned spatiotemporal contingencies. Anim Cogn 2022; 26:771-779. [PMID: 36394657 DOI: 10.1007/s10071-022-01715-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 11/07/2022] [Accepted: 11/09/2022] [Indexed: 11/19/2022]
Abstract
Animals learn multiple spatiotemporal contingencies and organize their anticipatory responses accordingly. The representational/computational capacity that underlies such spatiotemporally guided behaviors is not fully understood. To this end, we investigated whether mice make temporal inferences of novel locations based on previously learned spatiotemporal contingencies. We trained 18 C57BL/6J mice to anticipate reward after three different intervals at three different locations and tested their temporal expectations of a reward at five locations simultaneously, including two locations that were not previously associated with reward delivery but adjacent to the previously trained locations. If mice made spatiotemporal inferences, they were expected to interpolate between duration pairs associated with previously reinforced hoppers surrounding the novel hopper. We found that the maximal response rate at the novel locations indeed fell between the two intervals reinforced at the surrounding hoppers. We argue that this pattern of responding might be underlain by spatially constrained Bayesian computations.
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Affiliation(s)
- Ezgi Gür
- Department of Biological Sciences, University of Manitoba, 50 Sifton Road, Room 222, Winnipeg, R3T 2M5, Canada
- Department of Psychology, Koç University, Istanbul, Turkey
| | - Yalçın A Duyan
- Department of Psychology, Koç University, Istanbul, Turkey
- Department of Psychology, MEF University, Istanbul, Turkey
| | - Fuat Balcı
- Department of Biological Sciences, University of Manitoba, 50 Sifton Road, Room 222, Winnipeg, R3T 2M5, Canada.
- Department of Psychology, Koç University, Istanbul, Turkey.
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29
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Gershman SJ, Burke T. Mental control of uncertainty. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2022:10.3758/s13415-022-01034-8. [PMID: 36168079 DOI: 10.3758/s13415-022-01034-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/01/2022] [Indexed: 06/16/2023]
Abstract
Can you reduce uncertainty by thinking? Intuition suggests that this happens through the elusive process of attention: if we expend mental effort, we can increase the reliability of our sensory data. Models based on "rational inattention" formalize this idea in terms of a trade-off between the costs and benefits of attention. This paper surveys the origin of these models in economics, their connection to rate-distortion theory, and some of their recent applications to psychology and neuroscience. We also report new data from a numerosity judgment task in which we manipulate performance incentives. Consistent with rational inattention, people are able to improve performance on this task when incentivized, in part by increasing the reliability of their sensory data.
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Affiliation(s)
- Samuel J Gershman
- Department of Psychology and Center for Brain Science, Harvard University, MA, Cambridge, USA.
| | - Taylor Burke
- Department of Psychology and Center for Brain Science, Harvard University, MA, Cambridge, USA
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30
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Chaumon M, Rioux PA, Herbst SK, Spiousas I, Kübel SL, Gallego Hiroyasu EM, Runyun ŞL, Micillo L, Thanopoulos V, Mendoza-Duran E, Wagelmans A, Mudumba R, Tachmatzidou O, Cellini N, D'Argembeau A, Giersch A, Grondin S, Gronfier C, Igarzábal FA, Klarsfeld A, Jovanovic L, Laje R, Lannelongue E, Mioni G, Nicolaï C, Srinivasan N, Sugiyama S, Wittmann M, Yotsumoto Y, Vatakis A, Balcı F, van Wassenhove V. The Blursday database as a resource to study subjective temporalities during COVID-19. Nat Hum Behav 2022; 6:1587-1599. [PMID: 35970902 DOI: 10.1038/s41562-022-01419-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 06/17/2022] [Indexed: 01/13/2023]
Abstract
The COVID-19 pandemic and associated lockdowns triggered worldwide changes in the daily routines of human experience. The Blursday database provides repeated measures of subjective time and related processes from participants in nine countries tested on 14 questionnaires and 15 behavioural tasks during the COVID-19 pandemic. A total of 2,840 participants completed at least one task, and 439 participants completed all tasks in the first session. The database and all data collection tools are accessible to researchers for studying the effects of social isolation on temporal information processing, time perspective, decision-making, sleep, metacognition, attention, memory, self-perception and mindfulness. Blursday includes quantitative statistics such as sleep patterns, personality traits, psychological well-being and lockdown indices. The database provides quantitative insights on the effects of lockdown (stringency and mobility) and subjective confinement on time perception (duration, passage of time and temporal distances). Perceived isolation affects time perception, and we report an inter-individual central tendency effect in retrospective duration estimation.
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Affiliation(s)
- Maximilien Chaumon
- Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Centre MEG-EEG, Centre de NeuroImagerie Recherche (CENIR), Paris, France.
| | | | - Sophie K Herbst
- Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin, Gif/Yvette, France
| | - Ignacio Spiousas
- Department of Science and Technology, University of Quilmes, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Sebastian L Kübel
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg, Germany.,Institute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany
| | | | - Şerife Leman Runyun
- Department of Psychology and Center for Translational Medicine, Koç University, Istanbul, Turkey
| | - Luigi Micillo
- Department of General Psychology, University of Padova, Padova, Italy
| | - Vassilis Thanopoulos
- Multisensory and Temporal Processing Laboratory (MultiTimeLab), Department of Psychology, Panteion University of Social and Political Sciences, Athens, Greece.,Department of History and Philosophy of Science, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Anna Wagelmans
- Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin, Gif/Yvette, France
| | - Ramya Mudumba
- Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, India
| | - Ourania Tachmatzidou
- Multisensory and Temporal Processing Laboratory (MultiTimeLab), Department of Psychology, Panteion University of Social and Political Sciences, Athens, Greece
| | - Nicola Cellini
- Department of General Psychology, University of Padova, Padova, Italy
| | - Arnaud D'Argembeau
- Department of Psychology, Psychology and Neuroscience of Cognition, Université de Liège, F.R.S.-FNRS, Liège, Belgium
| | - Anne Giersch
- Université de Strasbourg, Unité mixte INSERM U1114, Département de Psychiatrie, Hôpital civil, Strasbourg, France
| | - Simon Grondin
- École de psychologie, Université Laval, Quebec City, Quebec, Canada
| | - Claude Gronfier
- Waking Team, Lyon Neuroscience Research Center (CRNL), INSERM U1028, CNRS UMR5292, Université Lyon 1, Bron, France
| | | | - André Klarsfeld
- Laboratoire Plasticité du Cerveau, CNRS UMR 8249, ESPCI Paris PSL, Paris, France
| | - Ljubica Jovanovic
- Université de Strasbourg, Unité mixte INSERM U1114, Département de Psychiatrie, Hôpital civil, Strasbourg, France.,School of Psychology, University Park, University of Nottingham, Nottingham, UK
| | - Rodrigo Laje
- Department of Science and Technology, University of Quilmes, Buenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
| | - Elisa Lannelongue
- Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin, Gif/Yvette, France
| | - Giovanna Mioni
- Department of General Psychology, University of Padova, Padova, Italy
| | - Cyril Nicolaï
- Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin, Gif/Yvette, France.,Centre de Recherches Interdisciplinaires, Paris, France
| | - Narayanan Srinivasan
- Department of Cognitive Science, Indian Institute of Technology Kanpur, Kanpur, India
| | - Shogo Sugiyama
- Department of Life Sciences, University of Tokyo, Tokyo, Japan
| | - Marc Wittmann
- Institute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany
| | - Yuko Yotsumoto
- Department of Life Sciences, University of Tokyo, Tokyo, Japan
| | - Argiro Vatakis
- Multisensory and Temporal Processing Laboratory (MultiTimeLab), Department of Psychology, Panteion University of Social and Political Sciences, Athens, Greece
| | - Fuat Balcı
- Department of Psychology and Center for Translational Medicine, Koç University, Istanbul, Turkey.,Department of Biological Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Virginie van Wassenhove
- Cognitive Neuroimaging Unit, INSERM, CEA, CNRS, Université Paris-Saclay, NeuroSpin, Gif/Yvette, France.
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31
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Henke J, Flanagin VL, Thurley K. A virtual reality time reproduction task for rodents. Front Behav Neurosci 2022; 16:957804. [PMID: 36035022 PMCID: PMC9399742 DOI: 10.3389/fnbeh.2022.957804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 07/14/2022] [Indexed: 11/16/2022] Open
Abstract
Estimates of the duration of time intervals and other magnitudes exhibit characteristic biases that likely result from error minimization strategies. To investigate such phenomena, magnitude reproduction tasks are used with humans and other primates. However, such behavioral tasks do not exist for rodents, one of the most important animal orders for neuroscience. We, therefore, developed a time reproduction task that can be used with rodents. It involves an animal reproducing the duration of a timed visual stimulus by walking along a corridor. The task was implemented in virtual reality, which allowed us to ensure that the animals were actually estimating time. The hallway did not contain prominent spatial cues and movement could be de-correlated from optic flow, such that the animals could not learn a mapping between stimulus duration and covered distance. We tested the reproduction of durations of several seconds in three different stimulus ranges. The gerbils reproduced the durations with a precision similar to experiments on humans. Their time reproductions also exhibited the characteristic biases of magnitude estimation experiments. These results demonstrate that our behavioral paradigm provides a means to study time reproduction in rodents.
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Affiliation(s)
- Josphine Henke
- Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
- Bernstein Center for Computational Neuroscience Munich, Munich, Germany
| | - Virginia L. Flanagin
- Bernstein Center for Computational Neuroscience Munich, Munich, Germany
- German Center for Vertigo and Balance Disorders, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Kay Thurley
- Faculty of Biology, Ludwig-Maximilians-Universität München, Munich, Germany
- Bernstein Center for Computational Neuroscience Munich, Munich, Germany
- *Correspondence: Kay Thurley
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32
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Tal-Perry N, Yuval-Greenberg S. Contraction bias in temporal estimation. Cognition 2022; 229:105234. [PMID: 35961164 DOI: 10.1016/j.cognition.2022.105234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 07/24/2022] [Accepted: 07/25/2022] [Indexed: 11/15/2022]
Abstract
When asked to compare the perceptual features of two serially presented objects, participants are often biased to over- or under-estimate the difference in magnitude between the stimuli. Overestimation occurs consistently when a) the two stimuli are relatively small in magnitude and the first stimulus is larger in magnitude than the second; or b) the two stimuli are relatively large in magnitude and the first stimulus is smaller in magnitude than the second; underestimation consistently occurs in the complementary cases. This systematic perceptual bias, known as the contraction bias, was demonstrated for a multitude of perceptual features and in various modalities. Here, we tested whether estimation of time-duration is affected by the contraction bias. In each trial of three experiments (n = 20 each), participants compared the duration of two visually presented stimuli. Findings revealed over- and under-estimation effects as predicted by the contraction bias. Here, we discuss this asymmetry and describe how these findings can be explained via a Bayesian inference framework.
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Affiliation(s)
- Noam Tal-Perry
- School of Psychological Sciences, Tel-Aviv University, Israel
| | - Shlomit Yuval-Greenberg
- School of Psychological Sciences, Tel-Aviv University, Israel; Sagol School of Neuroscience, Tel-Aviv University, Israel.
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33
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Luo M, Zhang H, Luo H. Cartesian coordinates scaffold stable spatial perception over time. J Vis 2022; 22:13. [PMID: 35857298 PMCID: PMC9315070 DOI: 10.1167/jov.22.8.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Visual systems exploit temporal continuity principles to achieve stable spatial perception, manifested as the serial dependence and central tendency effects. These effects are posited to reflect a smoothing process whereby past and present information integrates over time to decrease noise and stabilize perception. Meanwhile, the basic spatial coordinate—Cartesian versus polar—that scaffolds the integration process in two-dimensional continuous space remains unknown. The spatial coordinates are largely related to the allocentric and egocentric reference frames and presumably correspond with early and late processing stages in spatial perception. Here, four experiments consistently demonstrate that Cartesian outperforms polar coordinates in characterizing the serial bias—serial dependence and central tendency effect—in two-dimensional continuous spatial perception. The superiority of Cartesian coordinates is robust, independent of task environment (online and offline task), experimental length (short and long blocks), spatial context (shape of visual mask), and response modality (keyboard and mouse). Taken together, the visual system relies on the Cartesian coordinates for spatiotemporal integration to facilitate stable representation of external information, supporting the involvement of allocentric reference frame and top-down modulation in spatial perception over long time intervals.
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Affiliation(s)
- Minghao Luo
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.,Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China.,
| | - Huihui Zhang
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.,Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China.,
| | - Huan Luo
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China.,PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.,Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China.,
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34
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Hadad BS, Yashar A. Sensory Perception in Autism: What Can We Learn? Annu Rev Vis Sci 2022; 8:239-264. [PMID: 35804481 DOI: 10.1146/annurev-vision-093020-035217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Autism is a neurodevelopmental disorder of unknown etiology. Recently, there has been a growing interest in sensory processing in autism as a core phenotype. However, basic questions remain unanswered. Here, we review the major findings and models of perception in autism and point to methodological issues that have led to conflicting results. We show that popular models of perception in autism, such as the reduced prior hypothesis, cannot explain the many and varied findings. To resolve these issues, we point to the benefits of using rigorous psychophysical methods to study perception in autism. We advocate for perceptual models that provide a detailed explanation of behavior while also taking into account factors such as context, learning, and attention. Furthermore, we demonstrate the importance of tracking changes over the course of development to reveal the causal pathways and compensatory mechanisms. Finally, we propose a developmental perceptual narrowing account of the condition. Expected final online publication date for the Annual Review of Vision Science, Volume 8 is September 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Bat-Sheva Hadad
- Department of Special Education and The Edmond J. Safra Brain Research Center, University of Haifa, Haifa, Israel; ,
| | - Amit Yashar
- Department of Special Education and The Edmond J. Safra Brain Research Center, University of Haifa, Haifa, Israel; ,
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35
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Cai ZG, Wu L, Liu H, Wang R. Cross-dimensional magnitude interactions reflect statistical correlations among physical dimensions: Evidence from space-time interaction. Acta Psychol (Amst) 2022; 227:103608. [PMID: 35569202 DOI: 10.1016/j.actpsy.2022.103608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 04/16/2022] [Accepted: 05/04/2022] [Indexed: 11/16/2022] Open
Abstract
Magnitudes of different physical dimensions have been assumed to be processed by a common metric in order to account for interactions between different dimensions (e.g., space, time). This paper tested a different hypothesis, that these cross-dimensional interactions reflect people's experience of statistical correlations among physical dimensions. In the experiment, we manipulated the correlation between space (length) and time (duration). A stimulus consisting of two vertical bars that demarcated a variable stimulus length was presented for a variable stimulus duration; participants were to reproduce either the stimulus length or the stimulus duration. Critically, to reproduce a stimulus length, participants held down the spacebar to grow or shrink (in a blocked design) a length to the stimulus length such that space (i.e. reproduced length) positively or negatively co-varied with time. Reproduced lengths did not vary as a function of stimulus duration under positive space-time correlation but decreased as a function of stimulus duration under negative space-time correlation; reproduced durations increased as a function of stimulus length under positive space-time correlation but this space-on-time effect appeared to be attenuated under negative space-time correlation. These findings are consistent with a Bayesian inference account whereby cross-dimensional interactions reflect people's prior belief/knowledge of cross-dimensional statistical correlation, which itself tunes to recent input.
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Affiliation(s)
- Zhenguang G Cai
- Department of Linguistics and Modern Languages/Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong SAR, China.
| | - Limu Wu
- Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, China
| | - Huihui Liu
- Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, China
| | - Ruiming Wang
- Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, China
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36
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Tan ZY, Choo CM, Lin Y, Ho HN, Kitada R. The Effect of Temperature on Tactile Softness Perception. IEEE TRANSACTIONS ON HAPTICS 2022; 15:638-645. [PMID: 35951577 DOI: 10.1109/toh.2022.3198115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
We are adept at discriminating object properties such as softness and temperature using touch. Previous studies have investigated the nature of each object property, but the interactions between these properties are not fully understood. Tactile softness perception relies on multiple sensory cues such as the size of the contact area, indentation depth, and force exerted. In addition to these cues, the temperature of the stimulus may contribute to tactile softness perception by changing the sensitivity to changes in stimulus compliance. To test this hypothesis, we conducted two psychophysical experiments in which the subjects estimated the magnitude of perceived softness after touching deformable objects. We varied the compliance and temperature of the stimuli. The linear functions of compliance fit to the magnitude estimates under cold conditions (9-15°C) were steeper than the functions fit to the magnitude estimates under room temperature (21-25°C). These results indicate that temperature can sharpen our tactile softness perception of deformable surfaces by increasing the sensitivity to differences in compliance.
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37
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Sheldon AD, Kafadar E, Fisher V, Greenwald MS, Aitken F, Negreira AM, Woods SW, Powers AR. Perceptual pathways to hallucinogenesis. Schizophr Res 2022; 245:77-89. [PMID: 35216865 PMCID: PMC9232894 DOI: 10.1016/j.schres.2022.02.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 01/31/2022] [Accepted: 02/02/2022] [Indexed: 12/22/2022]
Abstract
Recent advances in computational psychiatry have provided unique insights into the neural and cognitive underpinnings of psychotic symptoms. In particular, a host of new data has demonstrated the utility of computational frameworks for understanding how hallucinations might arise from alterations in typical perceptual processing. Of particular promise are models based in Bayesian inference that link hallucinatory perceptual experiences to latent states that may drive them. In this piece, we move beyond these findings to ask: how and why do these latent states arise, and how might we take advantage of heterogeneity in that process to develop precision approaches to the treatment of hallucinations? We leverage specific models of Bayesian inference to discuss components that might lead to the development of hallucinations. Using the unifying power of our model, we attempt to place disparate findings in the study of psychotic symptoms within a common framework. Finally, we suggest directions for future elaboration of these models in the service of a more refined psychiatric nosology based on predictable, testable, and ultimately treatable information processing derangements.
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Affiliation(s)
- Andrew D Sheldon
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, United States of America
| | - Eren Kafadar
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, United States of America
| | - Victoria Fisher
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, United States of America
| | - Maximillian S Greenwald
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, United States of America
| | - Fraser Aitken
- School of Biomedical and Imaging Sciences, Kings College, London, UK
| | | | - Scott W Woods
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, United States of America
| | - Albert R Powers
- Yale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, United States of America.
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38
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Individual beliefs about temporal continuity explain variation of perceptual biases. Sci Rep 2022; 12:10746. [PMID: 35750891 PMCID: PMC9232651 DOI: 10.1038/s41598-022-14939-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 06/15/2022] [Indexed: 11/08/2022] Open
Abstract
Perception of magnitudes such as duration or distance is often found to be systematically biased. The biases, which result from incorporating prior knowledge in the perceptual process, can vary considerably between individuals. The variations are commonly attributed to differences in sensory precision and reliance on priors. However, another factor not considered so far is the implicit belief about how successive sensory stimuli are generated: independently from each other or with certain temporal continuity. The main types of explanatory models proposed so far-static or iterative-mirror this distinction but cannot adequately explain individual biases. Here we propose a new unifying model that explains individual variation as combination of sensory precision and beliefs about temporal continuity and predicts the experimentally found changes in biases when altering temporal continuity. Thus, according to the model, individual differences in perception depend on beliefs about how stimuli are generated in the world.
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39
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Fountas Z, Sylaidi A, Nikiforou K, Seth AK, Shanahan M, Roseboom W. A Predictive Processing Model of Episodic Memory and Time Perception. Neural Comput 2022; 34:1501-1544. [PMID: 35671462 DOI: 10.1162/neco_a_01514] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 03/06/2022] [Indexed: 11/04/2022]
Abstract
Human perception and experience of time are strongly influenced by ongoing stimulation, memory of past experiences, and required task context. When paying attention to time, time experience seems to expand; when distracted, it seems to contract. When considering time based on memory, the experience may be different than what is in the moment, exemplified by sayings like "time flies when you're having fun." Experience of time also depends on the content of perceptual experience-rapidly changing or complex perceptual scenes seem longer in duration than less dynamic ones. The complexity of interactions among attention, memory, and perceptual stimulation is a likely reason that an overarching theory of time perception has been difficult to achieve. Here, we introduce a model of perceptual processing and episodic memory that makes use of hierarchical predictive coding, short-term plasticity, spatiotemporal attention, and episodic memory formation and recall, and apply this model to the problem of human time perception. In an experiment with approximately 13,000 human participants, we investigated the effects of memory, cognitive load, and stimulus content on duration reports of dynamic natural scenes up to about 1 minute long. Using our model to generate duration estimates, we compared human and model performance. Model-based estimates replicated key qualitative biases, including differences by cognitive load (attention), scene type (stimulation), and whether the judgment was made based on current or remembered experience (memory). Our work provides a comprehensive model of human time perception and a foundation for exploring the computational basis of episodic memory within a hierarchical predictive coding framework.
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Affiliation(s)
- Zafeirios Fountas
- Emotech Labs, London, N1 7EU U.K.,Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London WC1N 3AR, U.K.
| | | | | | - Anil K Seth
- Department of Informatics and Sackler Centre for Consciousness Science, University of Sussex, Brighton, BN1 9RH, U.K.,Canadian Institute for Advanced Research Program on Brain, Mind, and Consciousness, Toronto, ON M5G 1M1, Canada
| | - Murray Shanahan
- Department of Computing, Imperial College London, London, SW7 2RH, U.K.
| | - Warrick Roseboom
- Department of Informatics and Sackler Centre for Consciousness Science, University of Sussex, Brighton BN1 9RH, U.K.
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40
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Efficient coding of numbers explains decision bias and noise. Nat Hum Behav 2022; 6:1142-1152. [DOI: 10.1038/s41562-022-01352-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 04/12/2022] [Indexed: 01/29/2023]
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41
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Binur N, Hel-Or H, Hadad BS. Individuals with autism show non-adaptive relative weighting of perceptual prior and sensory reliability. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2022; 26:2052-2065. [PMID: 35317640 DOI: 10.1177/13623613221074416] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
LAY ABSTRACT Unique perceptual skills and abnormalities in perception have been extensively demonstrated in those with autism for many perceptual domains, accounting, at least in part, for some of the main symptoms. Several new hypotheses suggest that perceptual representations in autism are unrefined, appear less constrained by exposure and regularities of the environment, and rely more on actual concrete input. Consistent with these emerging views, a bottom-up, data-driven fashion of processing has been suggested to account for the atypical perception in autism. It is yet unclear, however, whether reduced effects of prior knowledge and top-down information, or rather reduced noise in the sensory input, account for the often-reported bottom-up mode of processing in autism. We show that neither is sufficiently supported. Instead, we demonstrate clear differences between autistics and neurotypicals in how incoming input is weighted against prior knowledge and experience in determining the final percept. Importantly, the findings tap central differences in perception between those with and without autism that are consistent across identified sub-clusters within each group.
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Affiliation(s)
| | | | - Bat-Sheva Hadad
- University of Haifa, Israel.,Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, Israel
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42
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Otsuka T, Yotsumoto Y. Partially Separable Aspects of Spatial and Temporal Estimations in Virtual Navigation as Revealed by Adaptation. Iperception 2022; 13:20416695221078878. [PMID: 35237401 PMCID: PMC8883378 DOI: 10.1177/20416695221078878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 01/21/2022] [Indexed: 11/17/2022] Open
Abstract
Recent studies claim that estimating the magnitude of the spatial and temporal aspects of one's self-motion shows similar characteristics, suggesting shared processing mechanisms between these two dimensions. While the estimation of other magnitude dimensions, such as size, number, and duration, exhibits negative aftereffects after prolonged exposure to the stimulus, it remains to be elucidated whether this could occur similarly in the estimation of the distance travelled and time elapsed during one's self-motion. We sought to fill this gap by examining the effects of adaptation on distance and time estimation using a virtual navigation task. We found that a negative aftereffect occurred in the distance reproduction task after repeated exposure to self-motion with a fixed travel distance. No such aftereffect occurred in the time reproduction task after repeated exposure to self-motion with a fixed elapsed time. Further, the aftereffect in distance reproduction occurred only when the distance of the adapting stimulus was fixed, suggesting that it did not reflect adaptation to time, which varied with distance. The estimation of spatial and temporal aspects of self-motion is thus processed by partially separable mechanisms, with the distance estimation being similar to the estimation of other magnitude dimensions.
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Affiliation(s)
- Taku Otsuka
- Department of Life Sciences, The University of Tokyo, Tokyo, Japan
| | - Yuko Yotsumoto
- Department of Life Sciences, The University of Tokyo, Tokyo, Japan
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43
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Modeling mean estimation tasks in within-trial and across-trial contexts. Atten Percept Psychophys 2022; 84:2384-2407. [PMID: 35199324 DOI: 10.3758/s13414-021-02410-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2021] [Indexed: 11/08/2022]
Abstract
The mean estimation task, which explicitly asks observers to estimate the mean feature value of multiple stimuli, is a fundamental paradigm in research areas such as ensemble coding and cue integration. The current study uses computational models to formalize how observers summarize information in mean estimation tasks. We compare model predictions from our Fidelity-based Integration Model (FIM) and other models on their ability to simulate observed patterns in within-trial weight distribution, across-trial information integration, and set-size effects on mean estimation accuracy. Experiments show non-equal weighting within trials in both sequential and simultaneous mean estimation tasks. Observers implicitly overestimated trial means below the global mean and underestimated trial means above the global mean. Mean estimation performance declined and stabilized with increasing set sizes. FIM successfully simulated all observed patterns, while other models failed. FIM's information sampling structure provides a new way to interpret the capacity limit in visual working memory and sub-sampling strategies. As a model framework, FIM offers task-dependent modeling for various ensemble coding paradigms, facilitating research synthesis across different studies in the literature.
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44
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Abstract
Perhaps the most recognizable “sensory map” in neuroscience is the somatosensory homunculus. Although the homunculus suggests a direct link between cortical territory and body part, the relationship is actually ambiguous without a decoder that knows this mapping. How the somatosensory system derives a spatial code from an activation in the homunculus is a longstanding mystery we aimed to solve. We propose that touch location is disambiguated using multilateration, a computation used by surveying and global positioning systems to localize objects. We develop a Bayesian formulation of multilateration, which we implement in a neural network to identify its computational signature. We then detect this signature in psychophysical experiments. Our results suggest that multilateration provides the homunculus-to-body mapping necessary for localizing touch. Perhaps the most recognizable sensory map in all of neuroscience is the somatosensory homunculus. Although it seems straightforward, this simple representation belies the complex link between an activation in a somatotopic map and the associated touch location on the body. Any isolated activation is spatially ambiguous without a neural decoder that can read its position within the entire map, but how this is computed by neural networks is unknown. We propose that the somatosensory system implements multilateration, a common computation used by surveying and global positioning systems to localize objects. Specifically, to decode touch location on the body, multilateration estimates the relative distance between the afferent input and the boundaries of a body part (e.g., the joints of a limb). We show that a simple feedforward neural network, which captures several fundamental receptive field properties of cortical somatosensory neurons, can implement a Bayes-optimal multilateral computation. Simulations demonstrated that this decoder produced a pattern of localization variability between two boundaries that was unique to multilateration. Finally, we identify this computational signature of multilateration in actual psychophysical experiments, suggesting that it is a candidate computational mechanism underlying tactile localization.
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45
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Polti I, Nau M, Kaplan R, van Wassenhove V, Doeller CF. Rapid encoding of task regularities in the human hippocampus guides sensorimotor timing. eLife 2022; 11:79027. [PMID: 36317500 PMCID: PMC9625083 DOI: 10.7554/elife.79027] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 10/02/2022] [Indexed: 11/17/2022] Open
Abstract
The brain encodes the statistical regularities of the environment in a task-specific yet flexible and generalizable format. Here, we seek to understand this process by bridging two parallel lines of research, one centered on sensorimotor timing, and the other on cognitive mapping in the hippocampal system. By combining functional magnetic resonance imaging (fMRI) with a fast-paced time-to-contact (TTC) estimation task, we found that the hippocampus signaled behavioral feedback received in each trial as well as performance improvements across trials along with reward-processing regions. Critically, it signaled performance improvements independent from the tested intervals, and its activity accounted for the trial-wise regression-to-the-mean biases in TTC estimation. This is in line with the idea that the hippocampus supports the rapid encoding of temporal context even on short time scales in a behavior-dependent manner. Our results emphasize the central role of the hippocampus in statistical learning and position it at the core of a brain-wide network updating sensorimotor representations in real time for flexible behavior.
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Affiliation(s)
- Ignacio Polti
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, The Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, Jebsen Centre for Alzheimer’s Disease, Norwegian University of Science and TechnologyTrondheimNorway,Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Matthias Nau
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, The Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, Jebsen Centre for Alzheimer’s Disease, Norwegian University of Science and TechnologyTrondheimNorway,Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Raphael Kaplan
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, The Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, Jebsen Centre for Alzheimer’s Disease, Norwegian University of Science and TechnologyTrondheimNorway,Department of Basic Psychology, Clinical Psychology, and Psychobiology, Universitat Jaume ICastellón de la PlanaSpain
| | - Virginie van Wassenhove
- CEA DRF/Joliot, NeuroSpin; INSERM, Cognitive Neuroimaging Unit; CNRS, Université Paris-SaclayGif-Sur-YvetteFrance
| | - Christian F Doeller
- Kavli Institute for Systems Neuroscience, Centre for Neural Computation, The Egil and Pauline Braathen and Fred Kavli Centre for Cortical Microcircuits, Jebsen Centre for Alzheimer’s Disease, Norwegian University of Science and TechnologyTrondheimNorway,Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany,Wilhelm Wundt Institute of Psychology, Leipzig UniversityLeipzigGermany
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46
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Henke J, Bunk D, von Werder D, Häusler S, Flanagin VL, Thurley K. Distributed coding of duration in rodent prefrontal cortex during time reproduction. eLife 2021; 10:71612. [PMID: 34939922 PMCID: PMC8786316 DOI: 10.7554/elife.71612] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 12/14/2021] [Indexed: 11/20/2022] Open
Abstract
As we interact with the external world, we judge magnitudes from sensory information. The estimation of magnitudes has been characterized in primates, yet it is largely unexplored in nonprimate species. Here, we use time interval reproduction to study rodent behavior and its neural correlates in the context of magnitude estimation. We show that gerbils display primate-like magnitude estimation characteristics in time reproduction. Most prominently their behavioral responses show a systematic overestimation of small stimuli and an underestimation of large stimuli, often referred to as regression effect. We investigated the underlying neural mechanisms by recording from medial prefrontal cortex and show that the majority of neurons respond either during the measurement or the reproduction of a time interval. Cells that are active during both phases display distinct response patterns. We categorize the neural responses into multiple types and demonstrate that only populations with mixed responses can encode the bias of the regression effect. These results help unveil the organizing neural principles of time reproduction and perhaps magnitude estimation in general.
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Affiliation(s)
- Josephine Henke
- Faculty of Biology, Ludwig-Maximilians-Universitaet Muenchen, Planegg-Martinsried, Germany
| | - David Bunk
- Faculty of Biology, Ludwig-Maximilians-Universitaet Muenchen, Planegg-Martinsried, Germany
| | - Dina von Werder
- Faculty of Biology, Ludwig-Maximilians-Universitaet Muenchen, Planegg-Martinsried, Germany
| | - Stefan Häusler
- Faculty of Biology, Ludwig-Maximilians-Universitaet Muenchen, Planegg-Martinsried, Germany
| | - Virginia L Flanagin
- German Center for Vertigo and Balance Disorders,, Ludwig-Maximilians-Universitaet Muenchen, Munich, Germany
| | - Kay Thurley
- Faculty of Biology, Ludwig-Maximilians-Universitaet Muenchen, Planegg-Martinsried, Germany
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47
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Zonca J, Folsø A, Sciutti A. The role of reciprocity in human-robot social influence. iScience 2021; 24:103424. [PMID: 34877490 PMCID: PMC8633024 DOI: 10.1016/j.isci.2021.103424] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 10/11/2021] [Accepted: 11/05/2021] [Indexed: 11/19/2022] Open
Abstract
Humans are constantly influenced by others’ behavior and opinions. Of importance, social influence among humans is shaped by reciprocity: we follow more the advice of someone who has been taking into consideration our opinions. In the current work, we investigate whether reciprocal social influence can emerge while interacting with a social humanoid robot. In a joint task, a human participant and a humanoid robot made perceptual estimates and then could overtly modify them after observing the partner’s judgment. Results show that endowing the robot with the ability to express and modulate its own level of susceptibility to the human’s judgments represented a double-edged sword. On the one hand, participants lost confidence in the robot’s competence when the robot was following their advice; on the other hand, participants were unwilling to disclose their lack of confidence to the susceptible robot, suggesting the emergence of reciprocal mechanisms of social influence supporting human-robot collaboration. If a social robot is susceptible to our advice, we lose confidence in it However, robot’s susceptibility does not deteriorate social influence These effects do not appear during interaction with a computer Susceptible robots can promote reciprocity but also hinder social learning
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Affiliation(s)
- Joshua Zonca
- Cognitive Architecture for Collaborative Technologies (CONTACT) Unit, Italian Institute of Technology, Via Enrico Melen, 83, 16152 Genoa, GE, Italy
- Corresponding author
| | - Anna Folsø
- Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy
| | - Alessandra Sciutti
- Cognitive Architecture for Collaborative Technologies (CONTACT) Unit, Italian Institute of Technology, Via Enrico Melen, 83, 16152 Genoa, GE, Italy
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48
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Abstract
Spatial navigation is a complex cognitive activity that depends on perception, action, memory, reasoning, and problem-solving. Effective navigation depends on the ability to combine information from multiple spatial cues to estimate one's position and the locations of goals. Spatial cues include landmarks, and other visible features of the environment, and body-based cues generated by self-motion (vestibular, proprioceptive, and efferent information). A number of projects have investigated the extent to which visual cues and body-based cues are combined optimally according to statistical principles. Possible limitations of these investigations are that they have not accounted for navigators' prior experiences with or assumptions about the task environment and have not tested complete decision models. We examine cue combination in spatial navigation from a Bayesian perspective and present the fundamental principles of Bayesian decision theory. We show that a complete Bayesian decision model with an explicit loss function can explain a discrepancy between optimal cue weights and empirical cues weights observed by (Chen et al. Cognitive Psychology, 95, 105-144, 2017) and that the use of informative priors to represent cue bias can explain the incongruity between heading variability and heading direction observed by (Zhao and Warren 2015b, Psychological Science, 26[6], 915-924). We also discuss (Petzschner and Glasauer's , Journal of Neuroscience, 31(47), 17220-17229, 2011) use of priors to explain biases in estimates of linear displacements during visual path integration. We conclude that Bayesian decision theory offers a productive theoretical framework for investigating human spatial navigation and believe that it will lead to a deeper understanding of navigational behaviors.
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49
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Bruschetta M, de Winkel KN, Mion E, Pretto P, Beghi A, Bülthoff HH. Assessing the contribution of active somatosensory stimulation to self-acceleration perception in dynamic driving simulators. PLoS One 2021; 16:e0259015. [PMID: 34793458 PMCID: PMC8601569 DOI: 10.1371/journal.pone.0259015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 10/11/2021] [Indexed: 11/18/2022] Open
Abstract
In dynamic driving simulators, the experience of operating a vehicle is reproduced by combining visual stimuli generated by graphical rendering with inertial stimuli generated by platform motion. Due to inherent limitations of the platform workspace, inertial stimulation is subject to shortcomings in the form of missing cues, false cues, and/or scaling errors, which negatively affect simulation fidelity. In the present study, we aim at quantifying the relative contribution of an active somatosensory stimulation to the perceived intensity of self-motion, relative to other sensory systems. Participants judged the intensity of longitudinal and lateral driving maneuvers in a dynamic driving simulator in passive driving conditions, with and without additional active somatosensory stimulation, as provided by an Active Seat (AS) and Active Belts (AB) integrated system (ASB). The results show that ASB enhances the perceived intensity of sustained decelerations, and increases the precision of acceleration perception overall. Our findings are consistent with models of perception, and indicate that active somatosensory stimulation can indeed be used to improve simulation fidelity.
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Affiliation(s)
- Mattia Bruschetta
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Ksander N. de Winkel
- TU Delft, Cognitive Robotics Delft, Delft, Netherlands
- Department of Perception, Cognition, and Action, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Enrico Mion
- Department of Information Engineering, University of Padova, Padova, Italy
- Department of Perception, Cognition, and Action, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- * E-mail:
| | | | - Alessandro Beghi
- Department of Information Engineering, University of Padova, Padova, Italy
| | - Heinrich H. Bülthoff
- Department of Perception, Cognition, and Action, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
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50
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Reddy NN. The implicit sense of agency is not a perceptual effect but is a judgment effect. Cogn Process 2021; 23:1-13. [PMID: 34751857 DOI: 10.1007/s10339-021-01066-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 10/25/2021] [Indexed: 01/02/2023]
Abstract
The sense of agency (SoA) is characterized as the sense of being the causal agent of one's own actions, and it is measured in two forms: explicit and implicit. In the explicit SoA experiments, the participants explicitly report whether they have a sense of control over their actions or whether they or somebody else is the causal agent of seen actions; the implicit SoA experiments study how do participants' agentive or voluntary actions modify perceptual processes (like time, vision, tactility, and audition) without directly asking the participants to explicitly think about their causal agency or sense of control. However, recent implicit SoA literature reported contradictory findings of the relationship between implicit SoA reports and agency states. Thus, I argue that the purported implicit SoA reports are not agency-driven perceptual effects per se but are judgment effects, by showing that (a) the typical operationalizations in implicit SoA domain lead to perceptual uncertainty on the part of the participants, (b) under uncertainty, participants' implicit SoA reports are due to heuristic judgments which are independent of agency states, and (c) under perceptual certainty, the typical implicit SoA reports might not have occurred at all. Thus, I conclude that the instances of implicit SoA are judgments (or response biases)-under uncertainty-rather than perceptual effects.
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