Open-Source Platform for Adjustable Training Regimes in Freely Moving and Head-Fixed Mice

Molecular tools available for rodent research enable detailed interrogation of the neural cell types and circuits that give rise to perception and decision-making during complex behaviors. To take full advantage of these molecular tools and successfully define causal relationships between neural function and overt actions during learning, there is a need for low-cost behavioral platforms with inherent flexibility in the implementation of task details. We present a behavioral platform capable of executing both head-fixed and freely moving task designs. The platform incorporates a user-interactive GUI that allows parameters to be adjusted online, during an acquisition session. Task metrics and performance indicators are acquired and organized into a standardized output, enabling single users to quickly master data analysis across a variety of task designs. To demonstrate the flexibility of the platform, mice of either sex were trained in two discrimination tasks: a head-fixed two-choice task as well as a freely moving operant conditioning task. Furthermore, we demonstrate that the platform can be used to show that mice harboring a mutation associated with autism spectrum disorder are able to perform a basic visual discrimination task in freely moving conditions. The presented work demonstrates the integration of multiple external devices to record task-related variables in a synchronized manner. As a result, the platform provides a valuable tool for affordable and reproducible investigation of behavioral decision-making as well as the neural basis underlying cognitive processes in health and disease.

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Publication Details

Journal
eNeuro
Published
2026-02-24
DOI
https://doi.org/10.1523/eneuro.0459-25.2026
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00

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article

Open-Source Platform for Adjustable Training Regimes in Freely Moving and Head-Fixed Mice

Maria R. Broderick, Sandra J. Kuhlman, Garrett T. Neske, Sabrina M. Vaillancourt et al.
eNeuro
Neural dynamics and brain function
article

Open-Source Platform for Adjustable Training Regimes in Freely Moving and Head-Fixed Mice

Maria R. Broderick, Sandra J. Kuhlman, Garrett T. Neske, Sabrina M. Vaillancourt, Michael D. Crespo, Elizabeth A. Goldstein
article en

Abstract

Molecular tools available for rodent research enable detailed interrogation of the neural cell types and circuits that give rise to perception and decision-making during complex behaviors. To take full advantage of these molecular tools and successfully define causal relationships between neural function and overt actions during learning, there is a need for low-cost behavioral platforms with inherent flexibility in the implementation of task details. We present a behavioral platform capable of executing both head-fixed and freely moving task designs. The platform incorporates a user-interactive GUI that allows parameters to be adjusted online, during an acquisition session. Task metrics and performance indicators are acquired and organized into a standardized output, enabling single users to quickly master data analysis across a variety of task designs. To demonstrate the flexibility of the platform, mice of either sex were trained in two discrimination tasks: a head-fixed two-choice task as well as a freely moving operant conditioning task. Furthermore, we demonstrate that the platform can be used to show that mice harboring a mutation associated with autism spectrum disorder are able to perform a basic visual discrimination task in freely moving conditions. The presented work demonstrates the integration of multiple external devices to record task-related variables in a synchronized manner. As a result, the platform provides a valuable tool for affordable and reproducible investigation of behavioral decision-making as well as the neural basis underlying cognitive processes in health and disease.

eNeuroVol. 13(3)
University at Buffalo, State University of New York (US)
National Institutes of Health
Reduced inequalities
Openalex Percentile: Top 47%
Neural dynamics and brain function
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