A Platform for Spatiotemporal "Matrix" Stimulation in Brain Networks Reveals Novel Forms of Circuit Plasticity

Here we demonstrate a facile method by which to deliver complex spatiotemporal stimulation to neural networks in fast patterns, to trigger interesting forms of circuit-level plasticity in cortical areas. We present a complete platform by which patterns of electricity can be arbitrarily defined and d...

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Bibliographic Details
Main Authors: Wilson, Nathan (Author), Wang, Forea L. (Author), Chen, Naiyan (Author), Yan, Sherry X. (Author), Daitch, Amy L. (Author), Shi, Bo (Author), Sharma, Samvaran (Author), Sur, Mriganka (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Computational and Systems Biology Program (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Frontiers Media SA, 2022-01-12T20:40:28Z.
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