A computational approach to "free will" constrained by the games we play

Valence-partitioned learning signals drive choice behavior and phenomenal subjective experience in humans

How the human brain generates conscious phenomenal experience is a fundamental problem. In particular, it is unknown how variable and dynamic changes in subjective affect are driven by interactions with objective phenomena. We hypothesize a neurocomputational mechanism that generates valence-specific learning signals associated with 'what it is like' to be rewarded or punished. Our hypothesized model maintains a partition between appetitive and aversive information while generating independent and parallel reward and punishment learning signals. This valence-partitioned reinforcement learning (VPRL) model and its associated learning signals are shown to predict dynamic changes in 1) human choice behavior, 2) phenomenal subjective experience, and 3) BOLD-imaging responses that implicate a network of regions that process appetitive and aversive information that converge on the ventral striatum and ventromedial prefrontal cortex during moments of introspection. Our results demonstrate the utility of valence-partitioned reinforcement learning as a neurocomputational basis for investigating mechanisms that may drive conscious experience.

The state of the art in organizational cognitive neuroscience: the therapeutic gap and possible implications for clinical practice

In the last decade, researchers in the social sciences have increasingly adopted neuroscientific techniques, with the consequent rise of research inspired by neuroscience in disciplines such as economics, marketing, decision sciences, and leadership. In 2007, we introduced the term organizational cognitive neuroscience (OCN), in an attempt to clearly demarcate research carried out in these many areas, and provide an overarching paradigm for research utilizing cognitive neuroscientific methods, theories, and concepts, within the organizational and business research fields. Here we will revisit and further refine the OCN paradigm, and define an approach where we feel the marriage of organizational theory and neuroscience will return even greater dividends in the future and that is within the field of clinical practice.

Monkeys would rather see and do: preference for agentic control in rhesus macaques

Rhesus monkeys (Macaca mulatta) engaged in a series of computerized tasks modeled on billiards and arcade games in order to determine their degree of preference for scenarios in which food rewards were contingent on their actions, as opposed to those in which outcomes appeared externally caused. Throughout these tasks, subjects showed a consistent preference for "agentic control," a state in which goal-directed behavior is directly responsible for motivating outcomes. Other factors like the frequency and timing of reward deliveries were precisely controlled and did not explain observed preferences.