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

Author:

Ladret Hugo J.ORCID,Cortes Nelson,Ikan Lamyae,Chavane FrédéricORCID,Casanova ChristianORCID,Perrinet Laurent U.ORCID

Abstract

AbstractOur 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.

Funder

Agence Nationale de la Recherche

Gouvernement du Canada | Instituts de Recherche en Santé du Canada | CIHR Skin Research Training Centre

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Medicine (miscellaneous)

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