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Open-Source Joystick Manipulandum for Decision-Making, Reaching, and Motor Control Studies in Mice.

Parley P Belsey1, Mark A Nicholas1, Eric A Yttri2,3

  • 1Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213.

Eneuro
|February 26, 2020
PubMed
Summary

We developed an open-source, low-cost joystick-based reaching platform for head-fixed mice. This system enables precise quantification of motor control and decision-making behaviors for advanced neuroscience research.

Keywords:
decision-makinghigh-throughputmouseoperantreachingrodent

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Area of Science:

  • Neuroscience
  • Behavioral Science
  • Robotics

Background:

  • Sophisticated behavioral paradigms are crucial for advancing optogenetic and molecular studies in motor control.
  • Existing methods may lack the necessary sophistication or accessibility for broad application.

Purpose of the Study:

  • To present a detailed guide for constructing and utilizing a novel joystick-based reaching platform for head-fixed mice.
  • To enable high-throughput behavioral analysis complementing advanced neuroscience techniques in rodents.

Main Methods:

  • Development of a customizable, low-cost, open-source hardware and software platform for joystick-based reaching tasks.
  • Implementation of a step-by-step guide for setup, training, and data analysis.
  • Utilizing performance metrics like reach trajectory, amplitude, speed, and duration for behavior quantification and closed-loop stimulation.

Main Results:

  • Mice successfully learned to perform consistent, quantifiable reaches.
  • The platform facilitated the study of probabilistic learning tasks, such as the two-armed bandit task.
  • Performance metrics were effectively used for closed-loop behavioral control and stimulation.

Conclusions:

  • This accessible platform enhances the study of motor control, decision-making, and reaction time in rodents.
  • It supports high-throughput investigation of action selection, motivation, and value-based decisions.
  • The open-source nature makes advanced behavioral research more attainable for diverse research groups.