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Noise Enhancement of Neural Information Processing

Cortical neurons in vivo function in highly fluctuating and seemingly noisy conditions, and the understanding of how information is processed in such complex states is still incomplete. In this perspective article, we first overview that an intense “synaptic noise” was measured first in single neuro...

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Detalles Bibliográficos
Autor principal: Destexhe, Alain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778153/
https://www.ncbi.nlm.nih.gov/pubmed/36554242
http://dx.doi.org/10.3390/e24121837
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author Destexhe, Alain
author_facet Destexhe, Alain
author_sort Destexhe, Alain
collection PubMed
description Cortical neurons in vivo function in highly fluctuating and seemingly noisy conditions, and the understanding of how information is processed in such complex states is still incomplete. In this perspective article, we first overview that an intense “synaptic noise” was measured first in single neurons, and computational models were built based on such measurements. Recent progress in recording techniques has enabled the measurement of highly complex activity in large numbers of neurons in animals and human subjects, and models were also built to account for these complex dynamics. Here, we attempt to link these two cellular and population aspects, where the complexity of network dynamics in awake cortex seems to link to the synaptic noise seen in single cells. We show that noise in single cells, in networks, or structural noise, all participate to enhance responsiveness and boost the propagation of information. We propose that such noisy states are fundamental to providing favorable conditions for information processing at large-scale levels in the brain, and may be involved in sensory perception.
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spelling pubmed-97781532022-12-23 Noise Enhancement of Neural Information Processing Destexhe, Alain Entropy (Basel) Perspective Cortical neurons in vivo function in highly fluctuating and seemingly noisy conditions, and the understanding of how information is processed in such complex states is still incomplete. In this perspective article, we first overview that an intense “synaptic noise” was measured first in single neurons, and computational models were built based on such measurements. Recent progress in recording techniques has enabled the measurement of highly complex activity in large numbers of neurons in animals and human subjects, and models were also built to account for these complex dynamics. Here, we attempt to link these two cellular and population aspects, where the complexity of network dynamics in awake cortex seems to link to the synaptic noise seen in single cells. We show that noise in single cells, in networks, or structural noise, all participate to enhance responsiveness and boost the propagation of information. We propose that such noisy states are fundamental to providing favorable conditions for information processing at large-scale levels in the brain, and may be involved in sensory perception. MDPI 2022-12-16 /pmc/articles/PMC9778153/ /pubmed/36554242 http://dx.doi.org/10.3390/e24121837 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Perspective
Destexhe, Alain
Noise Enhancement of Neural Information Processing
title Noise Enhancement of Neural Information Processing
title_full Noise Enhancement of Neural Information Processing
title_fullStr Noise Enhancement of Neural Information Processing
title_full_unstemmed Noise Enhancement of Neural Information Processing
title_short Noise Enhancement of Neural Information Processing
title_sort noise enhancement of neural information processing
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778153/
https://www.ncbi.nlm.nih.gov/pubmed/36554242
http://dx.doi.org/10.3390/e24121837
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