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Attention stabilizes the shared gain of V4 populations
Responses of sensory neurons represent stimulus information, but are also influenced by internal state. For example, when monkeys direct their attention to a visual stimulus, the response gain of specific subsets of neurons in visual cortex changes. Here, we develop a functional model of population...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758958/ https://www.ncbi.nlm.nih.gov/pubmed/26523390 http://dx.doi.org/10.7554/eLife.08998 |
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author | Rabinowitz, Neil C Goris, Robbe L Cohen, Marlene Simoncelli, Eero P |
author_facet | Rabinowitz, Neil C Goris, Robbe L Cohen, Marlene Simoncelli, Eero P |
author_sort | Rabinowitz, Neil C |
collection | PubMed |
description | Responses of sensory neurons represent stimulus information, but are also influenced by internal state. For example, when monkeys direct their attention to a visual stimulus, the response gain of specific subsets of neurons in visual cortex changes. Here, we develop a functional model of population activity to investigate the structure of this effect. We fit the model to the spiking activity of bilateral neural populations in area V4, recorded while the animal performed a stimulus discrimination task under spatial attention. The model reveals four separate time-varying shared modulatory signals, the dominant two of which each target task-relevant neurons in one hemisphere. In attention-directed conditions, the associated shared modulatory signal decreases in variance. This finding provides an interpretable and parsimonious explanation for previous observations that attention reduces variability and noise correlations of sensory neurons. Finally, the recovered modulatory signals reflect previous reward, and are predictive of subsequent choice behavior. DOI: http://dx.doi.org/10.7554/eLife.08998.001 |
format | Online Article Text |
id | pubmed-4758958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-47589582016-02-22 Attention stabilizes the shared gain of V4 populations Rabinowitz, Neil C Goris, Robbe L Cohen, Marlene Simoncelli, Eero P eLife Computational and Systems Biology Responses of sensory neurons represent stimulus information, but are also influenced by internal state. For example, when monkeys direct their attention to a visual stimulus, the response gain of specific subsets of neurons in visual cortex changes. Here, we develop a functional model of population activity to investigate the structure of this effect. We fit the model to the spiking activity of bilateral neural populations in area V4, recorded while the animal performed a stimulus discrimination task under spatial attention. The model reveals four separate time-varying shared modulatory signals, the dominant two of which each target task-relevant neurons in one hemisphere. In attention-directed conditions, the associated shared modulatory signal decreases in variance. This finding provides an interpretable and parsimonious explanation for previous observations that attention reduces variability and noise correlations of sensory neurons. Finally, the recovered modulatory signals reflect previous reward, and are predictive of subsequent choice behavior. DOI: http://dx.doi.org/10.7554/eLife.08998.001 eLife Sciences Publications, Ltd 2015-11-02 /pmc/articles/PMC4758958/ /pubmed/26523390 http://dx.doi.org/10.7554/eLife.08998 Text en © 2015, Rabinowitz et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Rabinowitz, Neil C Goris, Robbe L Cohen, Marlene Simoncelli, Eero P Attention stabilizes the shared gain of V4 populations |
title | Attention stabilizes the shared gain of V4 populations |
title_full | Attention stabilizes the shared gain of V4 populations |
title_fullStr | Attention stabilizes the shared gain of V4 populations |
title_full_unstemmed | Attention stabilizes the shared gain of V4 populations |
title_short | Attention stabilizes the shared gain of V4 populations |
title_sort | attention stabilizes the shared gain of v4 populations |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758958/ https://www.ncbi.nlm.nih.gov/pubmed/26523390 http://dx.doi.org/10.7554/eLife.08998 |
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