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Sparse Coding and Decorrelation in Primary Visual Cortex During Natural Vision

Vinje, William E., Gallant, Jack L.·2000·Science

Abstract

Theoretical studies suggest that primary visual cortex (area V1) uses a sparse code to efficiently represent natural scenes. This issue was investigated by recording from V1 neurons in awake behaving macaques during both free viewing of natural scenes and conditions simulating natural vision. Stimulation of the nonclassical receptive field increases the selectivity and sparseness of individual V1 neurons, increases the sparseness of the population response distribution, and strongly decorrelates the responses of neuron pairs. These effects are due to both excitatory and suppressive modulation of the classical receptive field by the nonclassical receptive field and do not depend critically on the spatiotemporal structure of the stimuli. During natural vision, the classical and nonclassical receptive fields function together to form a sparse representation of the visual world. This sparse code may be computationally efficient for both early vision and higher visual processing.

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Metadata

Authors
Vinje, W. E., & Gallant, J. L.
Venue
Science
Published
2000-02-18
Volume
287
Issue
5456
Pages
1273-1276
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2058670155
Cited by
1,275
References
3
FWCI
14.11
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sparse Coding and Decorrelation in Primary Visual Cortex During Natural Vision. https://app.cochat.ai/papers/10.1126/science.287.5456.1273
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Vinje, W. E., & Gallant, J. L. (2000). Sparse Coding and Decorrelation in Primary Visual Cortex During Natural Vision. Science. https://doi.org/10.1126/science.287.5456.1273

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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