Neural correlates of sparse coding and dimensionality reduction

Beyeler, Michael; Rounds, Emily L.; Carlson, Kristofor D.; Dutt, Nikil; Krichmar, Jeffrey L.

doi:10.1371/journal.pcbi.1006908

Title: Neural correlates of sparse coding and dimensionality reduction

Journal Article · 27 June 2019 · PLoS Computational Biology (Online)

DOI: https://doi.org/10.1371/journal.pcbi.1006908 · OSTI ID:1627259

^[1]; Rounds, Emily L. ^[2]; Carlson, Kristofor D. ^[3]; Dutt, Nikil ^[2]; Krichmar, Jeffrey L. ^[2]

Univ. of California, Irvine, CA (United States); Univ. of Washington, Seattle, WA (United States); DOE/OSTI
Univ. of California, Irvine, CA (United States)
Univ. of California, Irvine, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Supported by recent computational studies, there is increasing evidence that a wide range of neuronal responses can be understood as an emergent property of nonnegative sparse coding (NSC), an efficient population coding scheme based on dimensionality reduction and sparsity constraints. We review evidence that NSC might be employed by sensory areas to efficiently encode external stimulus spaces, by some associative areas to conjunctively represent multiple behaviorally relevant variables, and possibly by the basal ganglia to coordinate movement. In addition, NSC might provide a useful theoretical framework under which to understand the often complex and nonintuitive response properties of neurons in other brain areas. Although NSC might not apply to all brain areas (for example, motor or executive function areas) the success of NSC-based models, especially in sensory areas, warrants further investigation for neural correlates in other regions.

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Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: Air Force Research Laboratory (AFRL); Defense Advanced Research Projects Agency (DARPA); National Science Foundation (NSF); Sandia National Laboratories; USDOE National Nuclear Security Administration (NNSA); Washington Research Foundation Funds for Innovation in Neuroengineering and Data-Intensive Discovery

Grant/Contract Number:: NA0003525

OSTI ID:: 1627259

Journal Information:: PLoS Computational Biology (Online), Journal Name: PLoS Computational Biology (Online) Journal Issue: 6 Vol. 15; ISSN 1553-7358

Publisher:: Public Library of ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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