Behavioral Decision Wheel

Description

The Behavioral Decision Wheel offers precise and reproducible assessment of decision-making in mice and small animals. Inspired by the Institute of Brain Lab (IBL) and IBLRIG, it provides a standardized way to measure behavioral choices. Moreover, built with cutting-edge research, it delivers reliable data and adapts easily to various experimental setups. Researchers can systematically evaluate decision-making patterns, gaining insights into cognitive functions and behavioral responses.

Additionally, the wheel is USB-powered, with output voltages that change based on rotation speed (left or right). It sends serial commands when detecting direction changes, ensuring smooth system integration. Users can set a threshold (in degrees) to adjust sensitivity. It offers calibrated accuracy and works with PsychoPy via a plugin.

Designed for convenience, the behavioral decision wheel is easy to clean and comes with an optional head fixation system or as a standalone unit. Furthermore, it follows standardized measurement methods from the eLife publication, making it a vital tool for neuroscience and behavioral science research. It is also fully compatible with our Behavioral Task Device rig.

Moreover, the Behavioral Decision Wheel is fully adjustable in two directions. Users can modify its height to accommodate different setups and adjust its position along the animal’s body, ensuring alignment with the vertical axis. This flexibility allows for precise positioning tailored to each experiment, enhancing comfort for the animal and improving the accuracy of data collection.

Finally, the wheel features two distinct modes: speed output and decision output. In speed output mode, the device provides an analog output corresponding to the rotation speed. In decision output mode, based on a user-defined threshold, it delivers a semi-analog output with voltage levels of 0V, 1.65V, or 3.3V. This dual-mode functionality offers flexibility, allowing researchers to capture either continuous speed data or discrete decision signals, depending on the experimental requirements.