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Waves traveling over a map of visual space can ignite short-term predictions of sensory input

Recent analyses have found waves of neural activity traveling across entire visual cortical areas in awake animals. These traveling waves modulate the excitability of local networks and perceptual sensitivity. The general computational role of these spatiotemporal patterns in the visual system, howe...

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Autores principales: Benigno, Gabriel B., Budzinski, Roberto C., Davis, Zachary W., Reynolds, John H., Muller, Lyle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256723/
https://www.ncbi.nlm.nih.gov/pubmed/37296131
http://dx.doi.org/10.1038/s41467-023-39076-2
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author Benigno, Gabriel B.
Budzinski, Roberto C.
Davis, Zachary W.
Reynolds, John H.
Muller, Lyle
author_facet Benigno, Gabriel B.
Budzinski, Roberto C.
Davis, Zachary W.
Reynolds, John H.
Muller, Lyle
author_sort Benigno, Gabriel B.
collection PubMed
description Recent analyses have found waves of neural activity traveling across entire visual cortical areas in awake animals. These traveling waves modulate the excitability of local networks and perceptual sensitivity. The general computational role of these spatiotemporal patterns in the visual system, however, remains unclear. Here, we hypothesize that traveling waves endow the visual system with the capacity to predict complex and naturalistic inputs. We present a network model whose connections can be rapidly and efficiently trained to predict individual natural movies. After training, a few input frames from a movie trigger complex wave patterns that drive accurate predictions many frames into the future solely from the network’s connections. When the recurrent connections that drive waves are randomly shuffled, both traveling waves and the ability to predict are eliminated. These results suggest traveling waves may play an essential computational role in the visual system by embedding continuous spatiotemporal structures over spatial maps.
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spelling pubmed-102567232023-06-11 Waves traveling over a map of visual space can ignite short-term predictions of sensory input Benigno, Gabriel B. Budzinski, Roberto C. Davis, Zachary W. Reynolds, John H. Muller, Lyle Nat Commun Article Recent analyses have found waves of neural activity traveling across entire visual cortical areas in awake animals. These traveling waves modulate the excitability of local networks and perceptual sensitivity. The general computational role of these spatiotemporal patterns in the visual system, however, remains unclear. Here, we hypothesize that traveling waves endow the visual system with the capacity to predict complex and naturalistic inputs. We present a network model whose connections can be rapidly and efficiently trained to predict individual natural movies. After training, a few input frames from a movie trigger complex wave patterns that drive accurate predictions many frames into the future solely from the network’s connections. When the recurrent connections that drive waves are randomly shuffled, both traveling waves and the ability to predict are eliminated. These results suggest traveling waves may play an essential computational role in the visual system by embedding continuous spatiotemporal structures over spatial maps. Nature Publishing Group UK 2023-06-09 /pmc/articles/PMC10256723/ /pubmed/37296131 http://dx.doi.org/10.1038/s41467-023-39076-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Benigno, Gabriel B.
Budzinski, Roberto C.
Davis, Zachary W.
Reynolds, John H.
Muller, Lyle
Waves traveling over a map of visual space can ignite short-term predictions of sensory input
title Waves traveling over a map of visual space can ignite short-term predictions of sensory input
title_full Waves traveling over a map of visual space can ignite short-term predictions of sensory input
title_fullStr Waves traveling over a map of visual space can ignite short-term predictions of sensory input
title_full_unstemmed Waves traveling over a map of visual space can ignite short-term predictions of sensory input
title_short Waves traveling over a map of visual space can ignite short-term predictions of sensory input
title_sort waves traveling over a map of visual space can ignite short-term predictions of sensory input
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256723/
https://www.ncbi.nlm.nih.gov/pubmed/37296131
http://dx.doi.org/10.1038/s41467-023-39076-2
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