Cortical recurrence supports resilience to sensory variance in the primary visual cortex
Abstract Our daily endeavors occur in a complex visual environment, whose intrinsic variability challenges the way we integrate information to make decisions. By processing myriads of parallel sensory inputs, our brain is theoretically able to compute the variance of its environment, a cue known to...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-023-05042-3 |
| _version_ | 1797795489703264256 |
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| author | Hugo J. Ladret Nelson Cortes Lamyae Ikan Frédéric Chavane Christian Casanova Laurent U. Perrinet |
| author_facet | Hugo J. Ladret Nelson Cortes Lamyae Ikan Frédéric Chavane Christian Casanova Laurent U. Perrinet |
| author_sort | Hugo J. Ladret |
| collection | DOAJ |
| description | Abstract Our daily endeavors occur in a complex visual environment, whose intrinsic variability challenges the way we integrate information to make decisions. By processing myriads of parallel sensory inputs, our brain is theoretically able to compute the variance of its environment, a cue known to guide our behavior. Yet, the neurobiological and computational basis of such variance computations are still poorly understood. Here, we quantify the dynamics of sensory variance modulations of cat primary visual cortex neurons. We report two archetypal neuronal responses, one of which is resilient to changes in variance and co-encodes the sensory feature and its variance, improving the population encoding of orientation. The existence of these variance-specific responses can be accounted for by a model of intracortical recurrent connectivity. We thus propose that local recurrent circuits process uncertainty as a generic computation, advancing our understanding of how the brain handles naturalistic inputs. |
| first_indexed | 2024-03-13T03:18:44Z |
| format | Article |
| id | doaj.art-037888688b9f4459859189420dd6408e |
| institution | Directory Open Access Journal |
| issn | 2399-3642 |
| language | English |
| last_indexed | 2024-03-13T03:18:44Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj.art-037888688b9f4459859189420dd6408e2023-06-25T11:25:04ZengNature PortfolioCommunications Biology2399-36422023-06-016111310.1038/s42003-023-05042-3Cortical recurrence supports resilience to sensory variance in the primary visual cortexHugo J. Ladret0Nelson Cortes1Lamyae Ikan2Frédéric Chavane3Christian Casanova4Laurent U. Perrinet5Institut de Neurosciences de la Timone, UMR 7289, CNRS and Aix-Marseille UniversitéSchool of Optometry, Université de MontréalSchool of Optometry, Université de MontréalInstitut de Neurosciences de la Timone, UMR 7289, CNRS and Aix-Marseille UniversitéSchool of Optometry, Université de MontréalInstitut de Neurosciences de la Timone, UMR 7289, CNRS and Aix-Marseille UniversitéAbstract Our daily endeavors occur in a complex visual environment, whose intrinsic variability challenges the way we integrate information to make decisions. By processing myriads of parallel sensory inputs, our brain is theoretically able to compute the variance of its environment, a cue known to guide our behavior. Yet, the neurobiological and computational basis of such variance computations are still poorly understood. Here, we quantify the dynamics of sensory variance modulations of cat primary visual cortex neurons. We report two archetypal neuronal responses, one of which is resilient to changes in variance and co-encodes the sensory feature and its variance, improving the population encoding of orientation. The existence of these variance-specific responses can be accounted for by a model of intracortical recurrent connectivity. We thus propose that local recurrent circuits process uncertainty as a generic computation, advancing our understanding of how the brain handles naturalistic inputs.https://doi.org/10.1038/s42003-023-05042-3 |
| spellingShingle | Hugo J. Ladret Nelson Cortes Lamyae Ikan Frédéric Chavane Christian Casanova Laurent U. Perrinet Cortical recurrence supports resilience to sensory variance in the primary visual cortex Communications Biology |
| title | Cortical recurrence supports resilience to sensory variance in the primary visual cortex |
| title_full | Cortical recurrence supports resilience to sensory variance in the primary visual cortex |
| title_fullStr | Cortical recurrence supports resilience to sensory variance in the primary visual cortex |
| title_full_unstemmed | Cortical recurrence supports resilience to sensory variance in the primary visual cortex |
| title_short | Cortical recurrence supports resilience to sensory variance in the primary visual cortex |
| title_sort | cortical recurrence supports resilience to sensory variance in the primary visual cortex |
| url | https://doi.org/10.1038/s42003-023-05042-3 |
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