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A Reward-Based Behavioral Platform to Measure Neural Activity during Head-Fixed Behavior.
Andrew H Micallef1, Naoya Takahashi2, Matthew E Larkum2
1The Florey Institute of Neuroscience and Mental Health, University of MelbourneMelbourne, VIC, Australia.
Frontiers in Cellular Neuroscience
|June 17, 2017
Summary
This study details a custom Arduino and Python system for controlling Go/No-Go sensory tasks. This platform facilitates real-time behavioral control for neural basis of behavior research.
Area of Science:
- Neuroscience
- Behavioral Science
- Engineering
Background:
- Understanding neural computations requires recording from behaving animals.
- Subcellular recording techniques often necessitate strict head stability.
- The Go/No-Go sensory task allows binary decision reporting during head-fixation.
Purpose of the Study:
- To describe the setup of an Arduino and Python-based platform for controlling a Go/No-Go sensory behavior paradigm.
- To enable real-time control and reporting of sensory stimulus paradigms for neuroscience research.
Main Methods:
- Utilizing an Arduino micro-controller and a custom Python program.
- Integrating components to build a behavioral apparatus.
- Implementing reward delivery based on animal's reported decision.
Main Results:
- A functional platform system for Go/No-Go sensory task control was established.
- The system allows for real-time management of behavioral testing.
- Components for building the behavioral apparatus are detailed.
Conclusions:
- The developed system provides a robust, custom platform for investigating the neural basis of behavior.
- This setup supports precise control over behavioral experiments essential for neuroscience.
- Facilitates real-time data acquisition and stimulus control in animal models.

