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

Frontiers in Neural Circuits

Samvaran Sharma¹  Sherry X. Yan¹  Forea L. Wang¹  Mriganka Sur¹  Amy L. Daitch²  Bo Shi²  Nathan R. Wilson³  Naiyan Chen⁴ 

[1] Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, United States;Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States;Nara Logics, Inc., Boston, MA, United States;Program in Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, United States;

关键词: sequence;    cortical;    plasticity;    network;    calcium imaging;    multi-electrode;   

DOI  :  10.3389/fncir.2021.792228

来源: DOAJ

【 摘 要 】

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 distributed across a brain circuit, either simultaneously, asynchronously, or in complex patterns that can be easily designed and orchestrated with precise timing. Interfacing with acute slices of mouse cortex, we show that our system can be used to activate neurons at many locations and drive synaptic transmission in distributed patterns, and that this elicits new forms of plasticity that may not be observable via traditional methods, including interesting measurements of associational and sequence plasticity. Finally, we introduce an automated “network assay” for imaging activation and plasticity across a circuit. Spatiotemporal stimulation opens the door for high-throughput explorations of plasticity at the circuit level, and may provide a basis for new types of adaptive neural prosthetics.

【 授权许可】

Unknown