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Differential encoding of temporally evolving color patterns across nearby V1 neurons

Kristensen, Sofie Skårup LU and Jörntell, Henrik LU (2023) In Frontiers in Cellular Neuroscience 17.
Abstract

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... (More)

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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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
color, cortical neurons, extracellular recordings, information processing, multi-electrode array, neurophysiology, primary visual cortex
in
Frontiers in Cellular Neuroscience
volume
17
article number
1249522
publisher
Frontiers Media S. A.
external identifiers
  • scopus:85175559229
  • pmid:37920202
ISSN
1662-5102
DOI
10.3389/fncel.2023.1249522
language
English
LU publication?
yes
additional info
Publisher Copyright: Copyright © 2023 Kristensen and Jörntell.
id
1258a6fc-79a5-43fb-b9ab-837436c16669
date added to LUP
2023-12-04 14:52:26
date last changed
2024-11-14 09:09:56
@article{1258a6fc-79a5-43fb-b9ab-837436c16669,
  abstract     = {{<p>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.</p>}},
  author       = {{Kristensen, Sofie Skårup and Jörntell, Henrik}},
  issn         = {{1662-5102}},
  keywords     = {{color; cortical neurons; extracellular recordings; information processing; multi-electrode array; neurophysiology; primary visual cortex}},
  language     = {{eng}},
  publisher    = {{Frontiers Media S. A.}},
  series       = {{Frontiers in Cellular Neuroscience}},
  title        = {{Differential encoding of temporally evolving color patterns across nearby V1 neurons}},
  url          = {{http://dx.doi.org/10.3389/fncel.2023.1249522}},
  doi          = {{10.3389/fncel.2023.1249522}},
  volume       = {{17}},
  year         = {{2023}},
}