This is a preprint.
An Integrated Platform for in vivo Electrophysiology in Spatial Cognition Experiments
- PMID: 37577676
- PMCID: PMC10418273
- DOI: 10.1101/2023.08.02.551691
An Integrated Platform for in vivo Electrophysiology in Spatial Cognition Experiments
Update in
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An Integrated Platform for In Vivo Electrophysiology in Spatial Cognition Experiments.eNeuro. 2023 Nov 21;10(11):ENEURO.0274-23.2023. doi: 10.1523/ENEURO.0274-23.2023. Print 2023 Nov. eNeuro. 2023. PMID: 37989581 Free PMC article.
Abstract
Spatial cognition research requires behavioral paradigms that can distinguish between different navigational elements, such as allocentric (map-like) navigation and egocentric (e.g., body centered) navigation. To fill this need, we developed a flexible experimental platform that can be quickly modified without the need for significant changes to software and hardware. In this paper, we present this inexpensive and flexible behavioral platform paired with software which we are making freely available. Our behavioral platform serves as the foundation for a range of experiments, and though developed for assessing spatial cognition, it also has applications in the non-spatial domain of behavioral testing. There are two components of the software platform, 'Maze' and 'Stim Trigger'. Both programs can work in conjunction with electrophysiology acquisition systems, allowing for precise time stamping of neural events with behavior. The Maze program includes functionality for automatic reward delivery based on user defined zones. 'Stim Trigger' permits control of brain stimulation via any equipment that can be paired with an Arduino board. We seek to share our software and leverage the potential by expanding functionality in the future to meet the needs of a larger community of researchers.
Conflict of interest statement
7.Conflict of Interest Authors report no conflict of interest
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References
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- Anon (n.d.) ACCES I/O Products - USB Data Acquisition (DAQ) Products. Available at: https://accesio.com/usb-data-acquisition-daq-products/.
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- Anon (2016) Tablet based virtual reality system for research purposes. Anon (n.d.) Arduino - Home. Available at: https://www.arduino.cc/.
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