Measurement, manipulation and modeling of brain-wide neural population dynamics

Krishna V. Shenoy; Jonathan C. Kao

doi:10.1038/s41467-020-20371-1

Nature Communications (Jan 2021)

Measurement, manipulation and modeling of brain-wide neural population dynamics

Krishna V. Shenoy,
Jonathan C. Kao

Affiliations

Krishna V. Shenoy: Department of Electrical Engineering, Stanford University
Jonathan C. Kao: Department of Electrical and Computer Engineering, University of California, Los Angeles

DOI: https://doi.org/10.1038/s41467-020-20371-1
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 5

Abstract

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Neural recording technologies increasingly enable simultaneous measurement of neural activity from multiple brain areas. To gain insight into distributed neural computations, a commensurate advance in experimental and analytical methods is necessary. We discuss two opportunities towards this end: the manipulation and modeling of neural population dynamics.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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