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Coordinated multiplexing of information about separate objects in visual cortex

Sensory receptive fields are large enough that they can contain more than one perceptible stimulus. How, then, can the brain encode information about each of the stimuli that may be present at a given moment? We recently showed that when more than one stimulus is present, single neurons can fluctuat...

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Autores principales: Jun, Na Young, Ruff, Douglas A, Kramer, Lily E, Bowes, Brittany, Tokdar, Surya T, Cohen, Marlene R, Groh, Jennifer M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708082/
https://www.ncbi.nlm.nih.gov/pubmed/36444983
http://dx.doi.org/10.7554/eLife.76452
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author Jun, Na Young
Ruff, Douglas A
Kramer, Lily E
Bowes, Brittany
Tokdar, Surya T
Cohen, Marlene R
Groh, Jennifer M
author_facet Jun, Na Young
Ruff, Douglas A
Kramer, Lily E
Bowes, Brittany
Tokdar, Surya T
Cohen, Marlene R
Groh, Jennifer M
author_sort Jun, Na Young
collection PubMed
description Sensory receptive fields are large enough that they can contain more than one perceptible stimulus. How, then, can the brain encode information about each of the stimuli that may be present at a given moment? We recently showed that when more than one stimulus is present, single neurons can fluctuate between coding one vs. the other(s) across some time period, suggesting a form of neural multiplexing of different stimuli (Caruso et al., 2018). Here, we investigate (a) whether such coding fluctuations occur in early visual cortical areas; (b) how coding fluctuations are coordinated across the neural population; and (c) how coordinated coding fluctuations depend on the parsing of stimuli into separate vs. fused objects. We found coding fluctuations do occur in macaque V1 but only when the two stimuli form separate objects. Such separate objects evoked a novel pattern of V1 spike count (‘noise’) correlations involving distinct distributions of positive and negative values. This bimodal correlation pattern was most pronounced among pairs of neurons showing the strongest evidence for coding fluctuations or multiplexing. Whether a given pair of neurons exhibited positive or negative correlations depended on whether the two neurons both responded better to the same object or had different object preferences. Distinct distributions of spike count correlations based on stimulus preferences were also seen in V4 for separate objects but not when two stimuli fused to form one object. These findings suggest multiple objects evoke different response dynamics than those evoked by single stimuli, lending support to the multiplexing hypothesis and suggesting a means by which information about multiple objects can be preserved despite the apparent coarseness of sensory coding.
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spelling pubmed-97080822022-11-30 Coordinated multiplexing of information about separate objects in visual cortex Jun, Na Young Ruff, Douglas A Kramer, Lily E Bowes, Brittany Tokdar, Surya T Cohen, Marlene R Groh, Jennifer M eLife Neuroscience Sensory receptive fields are large enough that they can contain more than one perceptible stimulus. How, then, can the brain encode information about each of the stimuli that may be present at a given moment? We recently showed that when more than one stimulus is present, single neurons can fluctuate between coding one vs. the other(s) across some time period, suggesting a form of neural multiplexing of different stimuli (Caruso et al., 2018). Here, we investigate (a) whether such coding fluctuations occur in early visual cortical areas; (b) how coding fluctuations are coordinated across the neural population; and (c) how coordinated coding fluctuations depend on the parsing of stimuli into separate vs. fused objects. We found coding fluctuations do occur in macaque V1 but only when the two stimuli form separate objects. Such separate objects evoked a novel pattern of V1 spike count (‘noise’) correlations involving distinct distributions of positive and negative values. This bimodal correlation pattern was most pronounced among pairs of neurons showing the strongest evidence for coding fluctuations or multiplexing. Whether a given pair of neurons exhibited positive or negative correlations depended on whether the two neurons both responded better to the same object or had different object preferences. Distinct distributions of spike count correlations based on stimulus preferences were also seen in V4 for separate objects but not when two stimuli fused to form one object. These findings suggest multiple objects evoke different response dynamics than those evoked by single stimuli, lending support to the multiplexing hypothesis and suggesting a means by which information about multiple objects can be preserved despite the apparent coarseness of sensory coding. eLife Sciences Publications, Ltd 2022-11-29 /pmc/articles/PMC9708082/ /pubmed/36444983 http://dx.doi.org/10.7554/eLife.76452 Text en © 2022, Jun et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Jun, Na Young
Ruff, Douglas A
Kramer, Lily E
Bowes, Brittany
Tokdar, Surya T
Cohen, Marlene R
Groh, Jennifer M
Coordinated multiplexing of information about separate objects in visual cortex
title Coordinated multiplexing of information about separate objects in visual cortex
title_full Coordinated multiplexing of information about separate objects in visual cortex
title_fullStr Coordinated multiplexing of information about separate objects in visual cortex
title_full_unstemmed Coordinated multiplexing of information about separate objects in visual cortex
title_short Coordinated multiplexing of information about separate objects in visual cortex
title_sort coordinated multiplexing of information about separate objects in visual cortex
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708082/
https://www.ncbi.nlm.nih.gov/pubmed/36444983
http://dx.doi.org/10.7554/eLife.76452
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