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The Nature of Shared Cortical Variability

Neuronal responses of sensory cortex are highly variable, and this variability is correlated across neurons. To assess how variability reflects factors shared across a neuronal population, we analyzed the activity of many simultaneously recorded neurons in visual cortex. We developed a simple model...

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Detalles Bibliográficos
Autores principales: Lin, I-Chun, Okun, Michael, Carandini, Matteo, Harris, Kenneth D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534383/
https://www.ncbi.nlm.nih.gov/pubmed/26212710
http://dx.doi.org/10.1016/j.neuron.2015.06.035
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author Lin, I-Chun
Okun, Michael
Carandini, Matteo
Harris, Kenneth D.
author_facet Lin, I-Chun
Okun, Michael
Carandini, Matteo
Harris, Kenneth D.
author_sort Lin, I-Chun
collection PubMed
description Neuronal responses of sensory cortex are highly variable, and this variability is correlated across neurons. To assess how variability reflects factors shared across a neuronal population, we analyzed the activity of many simultaneously recorded neurons in visual cortex. We developed a simple model that comprises two sources of shared variability: a multiplicative gain, which uniformly scales each neuron’s sensory drive, and an additive offset, which affects different neurons to different degrees. This model captured the variability of spike counts and reproduced the dependence of pairwise correlations on neuronal tuning and stimulus orientation. The relative contributions of the additive and multiplicative fluctuations could vary over time and had marked impact on population coding. These observations indicate that shared variability of neuronal populations in sensory cortex can be largely explained by two factors that modulate the whole population.
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spelling pubmed-45343832015-08-13 The Nature of Shared Cortical Variability Lin, I-Chun Okun, Michael Carandini, Matteo Harris, Kenneth D. Neuron Article Neuronal responses of sensory cortex are highly variable, and this variability is correlated across neurons. To assess how variability reflects factors shared across a neuronal population, we analyzed the activity of many simultaneously recorded neurons in visual cortex. We developed a simple model that comprises two sources of shared variability: a multiplicative gain, which uniformly scales each neuron’s sensory drive, and an additive offset, which affects different neurons to different degrees. This model captured the variability of spike counts and reproduced the dependence of pairwise correlations on neuronal tuning and stimulus orientation. The relative contributions of the additive and multiplicative fluctuations could vary over time and had marked impact on population coding. These observations indicate that shared variability of neuronal populations in sensory cortex can be largely explained by two factors that modulate the whole population. Cell Press 2015-08-05 /pmc/articles/PMC4534383/ /pubmed/26212710 http://dx.doi.org/10.1016/j.neuron.2015.06.035 Text en © 2015 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lin, I-Chun
Okun, Michael
Carandini, Matteo
Harris, Kenneth D.
The Nature of Shared Cortical Variability
title The Nature of Shared Cortical Variability
title_full The Nature of Shared Cortical Variability
title_fullStr The Nature of Shared Cortical Variability
title_full_unstemmed The Nature of Shared Cortical Variability
title_short The Nature of Shared Cortical Variability
title_sort nature of shared cortical variability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4534383/
https://www.ncbi.nlm.nih.gov/pubmed/26212710
http://dx.doi.org/10.1016/j.neuron.2015.06.035
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