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Article Dans Une Revue Communications Biology Année : 2023

Cortical recurrence supports resilience to sensory variance in the primary visual cortex

Hugo Ladret
Nelson Cortes
  • Fonction : Auteur
Lamyae Ikan
  • Fonction : Auteur
Frédéric Chavane
Christian Casanova

Résumé

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.

Dates et versions

hal-04142490 , version 1 (27-06-2023)

Identifiants

Citer

Hugo Ladret, Nelson Cortes, Lamyae Ikan, Frédéric Chavane, Christian Casanova, et al.. Cortical recurrence supports resilience to sensory variance in the primary visual cortex. Communications Biology, 2023, 6 (1), pp.667. ⟨10.1038/s42003-023-05042-3⟩. ⟨hal-04142490⟩
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