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Differential encoding of temporally evolving color patterns across nearby V1 neurons

Whereas studies of the V1 cortex have focused mainly on neural line orientation preference, color inputs are also known to have a strong presence among these neurons. Individual neurons typically respond to multiple colors and nearby neurons have different combinations of preferred color inputs. How...

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Autores principales: Kristensen, Sofie Skårup, Jörntell, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618616/
https://www.ncbi.nlm.nih.gov/pubmed/37920202
http://dx.doi.org/10.3389/fncel.2023.1249522
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author Kristensen, Sofie Skårup
Jörntell, Henrik
author_facet Kristensen, Sofie Skårup
Jörntell, Henrik
author_sort Kristensen, Sofie Skårup
collection PubMed
description Whereas studies of the V1 cortex have focused mainly on neural line orientation preference, color inputs are also known to have a strong presence among these neurons. Individual neurons typically respond to multiple colors and nearby neurons have different combinations of preferred color inputs. However, the computations performed by V1 neurons on such color inputs have not been extensively studied. Here we aimed to address this issue by studying how different V1 neurons encode different combinations of inputs composed of four basic colors. We quantified the decoding accuracy of individual neurons from multi-electrode array recordings, comparing multiple individual neurons located within 2 mm along the vertical axis of the V1 cortex of the anesthetized rat. We found essentially all V1 neurons to be good at decoding spatiotemporal patterns of color inputs and they did so by encoding them in different ways. Quantitative analysis showed that even adjacent neurons encoded the specific input patterns differently, suggesting a local cortical circuitry organization which tends to diversify rather than unify the neuronal responses to each given input. Using different pairs of monocolor inputs, we also found that V1 neocortical neurons had a diversified and rich color opponency across the four colors, which was somewhat surprising given the fact that rodent retina express only two different types of opsins. We propose that the processing of color inputs in V1 cortex is extensively composed of multiple independent circuitry components that reflect abstract functionalities resident in the internal cortical processing rather than the raw sensory information per se.
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spelling pubmed-106186162023-11-02 Differential encoding of temporally evolving color patterns across nearby V1 neurons Kristensen, Sofie Skårup Jörntell, Henrik Front Cell Neurosci Cellular Neuroscience Whereas studies of the V1 cortex have focused mainly on neural line orientation preference, color inputs are also known to have a strong presence among these neurons. Individual neurons typically respond to multiple colors and nearby neurons have different combinations of preferred color inputs. However, the computations performed by V1 neurons on such color inputs have not been extensively studied. Here we aimed to address this issue by studying how different V1 neurons encode different combinations of inputs composed of four basic colors. We quantified the decoding accuracy of individual neurons from multi-electrode array recordings, comparing multiple individual neurons located within 2 mm along the vertical axis of the V1 cortex of the anesthetized rat. We found essentially all V1 neurons to be good at decoding spatiotemporal patterns of color inputs and they did so by encoding them in different ways. Quantitative analysis showed that even adjacent neurons encoded the specific input patterns differently, suggesting a local cortical circuitry organization which tends to diversify rather than unify the neuronal responses to each given input. Using different pairs of monocolor inputs, we also found that V1 neocortical neurons had a diversified and rich color opponency across the four colors, which was somewhat surprising given the fact that rodent retina express only two different types of opsins. We propose that the processing of color inputs in V1 cortex is extensively composed of multiple independent circuitry components that reflect abstract functionalities resident in the internal cortical processing rather than the raw sensory information per se. Frontiers Media S.A. 2023-10-18 /pmc/articles/PMC10618616/ /pubmed/37920202 http://dx.doi.org/10.3389/fncel.2023.1249522 Text en Copyright © 2023 Kristensen and Jörntell. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular Neuroscience
Kristensen, Sofie Skårup
Jörntell, Henrik
Differential encoding of temporally evolving color patterns across nearby V1 neurons
title Differential encoding of temporally evolving color patterns across nearby V1 neurons
title_full Differential encoding of temporally evolving color patterns across nearby V1 neurons
title_fullStr Differential encoding of temporally evolving color patterns across nearby V1 neurons
title_full_unstemmed Differential encoding of temporally evolving color patterns across nearby V1 neurons
title_short Differential encoding of temporally evolving color patterns across nearby V1 neurons
title_sort differential encoding of temporally evolving color patterns across nearby v1 neurons
topic Cellular Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618616/
https://www.ncbi.nlm.nih.gov/pubmed/37920202
http://dx.doi.org/10.3389/fncel.2023.1249522
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