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Stochastic resonance and 'gamma band' synchronization in the human visual system

Cortical synchronization in the gamma-frequency range (above ~30.0 Hz) and the signal/noise interplay described by stochastic resonance models have been proposed as basic mechanisms in neuronal synchronization and sensory information processing, particularly in vision. Here we report an observation...

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Detalles Bibliográficos
Autores principales: Carozzo, Simone, Sannita, Walter G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076714/
https://www.ncbi.nlm.nih.gov/pubmed/33937903
http://dx.doi.org/10.1016/j.ibneur.2021.03.001
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author Carozzo, Simone
Sannita, Walter G.
author_facet Carozzo, Simone
Sannita, Walter G.
author_sort Carozzo, Simone
collection PubMed
description Cortical synchronization in the gamma-frequency range (above ~30.0 Hz) and the signal/noise interplay described by stochastic resonance models have been proposed as basic mechanisms in neuronal synchronization and sensory information processing, particularly in vision. Here we report an observation in humans of linear and inverted-U distributions of the electrophysiological (EEG) responses to visual contrast stimulation in the gamma band and in the low frequency components of the visual evoked responses (VER), respectively. The combination of linear and inverted-U distributions is described by a stochastic resonance model (SR). The observation needs replication in larger subjects’ samples. It nevertheless adds to the available evidence of a role of gamma oscillatory signals and SR mechanisms in neuronal synchronization and visual processing. Some functional adaptation in human vision appears conceivable and further investigation is warranted.
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spelling pubmed-80767142021-04-29 Stochastic resonance and 'gamma band' synchronization in the human visual system Carozzo, Simone Sannita, Walter G. IBRO Neurosci Rep Research Paper Cortical synchronization in the gamma-frequency range (above ~30.0 Hz) and the signal/noise interplay described by stochastic resonance models have been proposed as basic mechanisms in neuronal synchronization and sensory information processing, particularly in vision. Here we report an observation in humans of linear and inverted-U distributions of the electrophysiological (EEG) responses to visual contrast stimulation in the gamma band and in the low frequency components of the visual evoked responses (VER), respectively. The combination of linear and inverted-U distributions is described by a stochastic resonance model (SR). The observation needs replication in larger subjects’ samples. It nevertheless adds to the available evidence of a role of gamma oscillatory signals and SR mechanisms in neuronal synchronization and visual processing. Some functional adaptation in human vision appears conceivable and further investigation is warranted. Elsevier 2021-03-19 /pmc/articles/PMC8076714/ /pubmed/33937903 http://dx.doi.org/10.1016/j.ibneur.2021.03.001 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Carozzo, Simone
Sannita, Walter G.
Stochastic resonance and 'gamma band' synchronization in the human visual system
title Stochastic resonance and 'gamma band' synchronization in the human visual system
title_full Stochastic resonance and 'gamma band' synchronization in the human visual system
title_fullStr Stochastic resonance and 'gamma band' synchronization in the human visual system
title_full_unstemmed Stochastic resonance and 'gamma band' synchronization in the human visual system
title_short Stochastic resonance and 'gamma band' synchronization in the human visual system
title_sort stochastic resonance and 'gamma band' synchronization in the human visual system
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076714/
https://www.ncbi.nlm.nih.gov/pubmed/33937903
http://dx.doi.org/10.1016/j.ibneur.2021.03.001
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