2024
DOI: 10.1038/s41583-024-00795-0
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Response sub-additivity and variability quenching in visual cortex

Robbe L. T. Goris,
Ruben Coen-Cagli,
Kenneth D. Miller
et al.

Abstract: Sub-additivity and variability are ubiquitous response motifs in the primary visual cortex (V1). Response subadditivity provides an indication of the brain processes that enable the construction of useful interpretations of the visual environment (that is, nonlinear input transformations), while response variability provides an indication of the factors that limit the precision with which the brain can do this (that is, neural information loss). Historically, these two motifs have been studied independently of… Show more

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Cited by 5 publications
(2 citation statements)
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References 183 publications
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“…Under the exponential distribution, response standard deviation is equal to the response mean, providing an explanation for the strong association between both statistics in our data. We further suggest that response average and gain variability are closely related because of the mechanistic origins of gain variability ( Goris, Coen-Cagli, Miller, Priebe Lengyel, 2024 ). Specifically, we speculate that gain variability in large part arises from stimulus-independent noise in a divisive normalization signal.…”
Section: Discussionmentioning
confidence: 84%
“…Under the exponential distribution, response standard deviation is equal to the response mean, providing an explanation for the strong association between both statistics in our data. We further suggest that response average and gain variability are closely related because of the mechanistic origins of gain variability ( Goris, Coen-Cagli, Miller, Priebe Lengyel, 2024 ). Specifically, we speculate that gain variability in large part arises from stimulus-independent noise in a divisive normalization signal.…”
Section: Discussionmentioning
confidence: 84%
“…Neural responses are inherently variable. The visual system is no exception in this respect, as repeated presentations of the same stimulus tend to elicit different neural responses [1][2][3]. To decipher the influences of visual stimulation on neuronal responses, experimenters must be able to deliver light to the eye in a controllable and reliable manner.…”
Section: Introductionmentioning
confidence: 99%