Daily rhythms in a complex operant: targeted percentile shaping of run lengths in rats

A low-cost, do-it-yourself data-logging system to record animal activity in laboratory and small-enclosure experiments

With the increasing cost of prepackaged research equipment and restrictions on research budgets, there is a growing need for inexpensive solutions for data collection in laboratory and small enclosures across a range of research topics investigating responses of animals to experimental parameters. We present here a low-cost, modular passive infrared sensor and data-logging system for use in experiments evaluating animal activity and behaviour, easily assembled in a laboratory setting. This system comprises accessible kit-based components purchased from popular electronics suppliers. We present the hardware configuration, software coding, build of materials, circuit diagram and a sample dataset demonstrating that the system collects reliable data that is easily downloaded either through any terminal program, directly from the unit or via an SD card. It is hoped that this ‘freeware’ approach to activity-monitoring equipment will enable laboratory and enclosure-based research to be undertaken more cost-effectively.

Gamification of dietary decision-making in an elementary-school cafeteria

Despite the known health benefits of doing so, most US children do not consume enough fruits and vegetables (FV). School-based interventions can be effective in increasing FV consumption, but the most effective of these require that schools allocate their time, effort, and financial resources to implementing the program: expenditures that schools may be reluctant to provide in climates of academic accountability and economic austerity. The present demonstration project used a behaviorally based gamification approach to develop an intervention designed to increase FV consumption while minimizing material and labor costs to the school. During the intervention, the school (N = 180 students in grades K-8) played a cooperative game in which school-level goals were met by consuming higher-than-normal amounts of either fruit or vegetables (alternating-treatments experimental design). School-level consumption was quantified using a weight-based waste measure in the cafeteria. Over a period of 13 school days, fruit consumption increased by 66% and vegetable consumption by 44% above baseline levels. Use of an alternating-treatment time-series design with differential levels of FV consumption on days when fruit or vegetable was targeted for improvement supported the role of the intervention in these overall consumption increases. In post-intervention surveys, teachers rated the intervention as practical in the classroom and enjoyed by their students. Parent surveys revealed that children were more willing to try new FV at home and increased their consumption of FV following the intervention. These findings suggest that a behaviorally based gamification approach may prove practically useful in addressing concerns about poor dietary decision-making by children in schools.

What can robots tell us about brains? A synthetic approach towards the study of learning and problem solving

This paper argues for the development of synthetic approaches towards the study of brain and behavior as a complement to the more traditional empirical mode of research. As an example we present our own work on learning and problem solving which relates to the behavioral paradigms of classical and operant conditioning. We define the concept of learning in the context of behavior and lay out the basic methodological requirements a model needs to satisfy, which includes evaluations using robots. In addition, we define a number of design principles neuronal models should obey to be considered relevant. We present in detail the construction of a neural model of short- and long-term memory which can be applied to an artificial behaving system. The presented model (DAC4) provides a novel self-consistent implementation of these processes, which satisfies our principles. This model will be interpreted towards the present understanding of the neuronal substrate of memory.