ArticleCommunications biology2023
Cortical recurrence supports resilience to sensory variance in the primary visual cortex.
Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Machine learning discovers numerous new computational principles supporting elementary motion detection.Nature communications · 2026Article
- Recurrent issues with deep neural network models of visual recognition.Scientific reports · 2025Article
- DynTex: A real-time generative model of dynamic naturalistic luminance textures.Journal of vision · 2025Article
- Broadband visual stimuli improve neuronal representation and sensory perception.Nature communications · 2025Article
- Cortical recurrence supports resilience to sensory variance in the primary visual cortex.Communications biology · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.