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Neural correlates of sparse coding and dimensionality reduction

2019/06/27 by Michael Beyeler, Emily L. Rounds, Kristofor D. Carlson +2 · 1 voice
Neuroscience · #Neural dynamics and brain function #Face Recognition and Perception #Functional Brain Connectivity Studies

paper · doi:10.1371/journal.pcbi.1006908

openalex publication_date 2019/06/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

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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