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An Integrated Platform for In Vivo Electrophysiology in Spatial Cognition Experiments
Alfonso Brea Guerrero1,2, Mikko Oijala3, Shawn C Moseley2
1Program in Neuroscience, Florida State University, Tallahassee, 32306-4301, FL abreaguerrero@fsu.edu wilber@psy.fsu.edu.
Eneuro
|November 21, 2023
Summary
Researchers developed a flexible, inexpensive behavioral platform for spatial cognition studies. This freely available system aids in distinguishing allocentric and egocentric navigation, with broader applications in behavioral research.
Area of Science:
- Neuroscience
- Cognitive Science
- Behavioral Science
Background:
- Distinguishing between allocentric (map-like) and egocentric (body-centered) navigation is crucial for spatial cognition research.
- Existing behavioral paradigms may lack the flexibility to adequately differentiate these navigational strategies.
- A need exists for adaptable and cost-effective experimental platforms in behavioral neuroscience.
Purpose of the Study:
- To introduce a novel, flexible, and inexpensive experimental platform for behavioral research, particularly spatial cognition.
- To provide freely available software ('Maze' and 'Stim Trigger') to facilitate research.
- To enable precise temporal synchronization with electrophysiology systems for neural event analysis.
Main Methods:
- Development of a modular experimental platform adaptable without extensive hardware or software modification.
- Implementation of 'Maze' software for automated reward delivery based on user-defined zones.
- Integration of 'Stim Trigger' software for brain stimulation control via Arduino-compatible equipment.
- Compatibility with Neuralynx and Open Ephys electrophysiology acquisition systems for accurate event time-stamping.
Main Results:
- A functional and flexible behavioral platform has been successfully developed and is being made freely available.
- The platform allows for precise temporal marking of neural events when used with specified electrophysiology systems.
- Automated reward delivery and brain stimulation control functionalities are integrated into the software components.
Conclusions:
- The presented platform offers a cost-effective and adaptable solution for spatial cognition research.
- The freely available software enhances accessibility and promotes wider adoption within the research community.
- The platform's design supports future expansion and application in diverse areas of behavioral testing.

