Switching operation modes in the neocortex via cholinergic neuromodulation

In order to deal with the uncertainty in the world, our brains need to be able to flexibly switch between the exploration of new sensory representations and exploitation of previously acquired ones. This requires forming accurate estimations of what and how much something is expected. While modeling...

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Detalles Bibliográficos
Autores: Puigbó, Jordi-Ysard, Arsiwalla, Xerxes D., González Ballester, Miguel Ángel, Verschure, Paul
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/164297
Acceso en línea:https://hdl.handle.net/2445/164297
Access Level:acceso abierto
Palabra clave:Aprenentatge
Cervell
Neurotransmissors
Learning
Brain
Neurotransmitters
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spelling Switching operation modes in the neocortex via cholinergic neuromodulationPuigbó, Jordi-YsardArsiwalla, Xerxes D.González Ballester, Miguel ÁngelVerschure, PaulAprenentatgeCervellNeurotransmissorsLearningBrainNeurotransmittersIn order to deal with the uncertainty in the world, our brains need to be able to flexibly switch between the exploration of new sensory representations and exploitation of previously acquired ones. This requires forming accurate estimations of what and how much something is expected. While modeling has allowed for the development of several ways to form predictions, how the brain could implement those is still under debate. Here, we recognize acetylcholine as one of the main neuromodulators driving learning based on uncertainty, promoting the exploration of new sensory representations. We identify its interactions with cortical inhibitory interneurons and derive a biophysically grounded computational model able to capture and learn from uncertainty. This model allows us to understand inhibition beyond gain control by suggesting that different interneuron subtypes either encode predictions or estimate their uncertainty, facilitating detection of unexpected cues. Moreover, we show how acetylcholine-like neuromodulation uniquely interacts with global and local sources of inhibition, disrupting perceptual certainty and promoting the rapid acquisition of new perceptual cues. Altogether, our model proposes that cortical acetylcholine favors sensory exploration over exploitation in a cortical microcircuit dedicated to estimating sensory uncertainty.2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/164297Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1007/s12035-019-01764-wMolecular Neurobiology, 2020, vol. 57, num. 1, p. 139-149https://doi.org/10.1007/s12035-019-01764-winfo:eu-repo/grantAgreement/EC/H2020/826421(c) Springer Nature, 2019info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1642972026-05-27T06:46:51Z
dc.title.none.fl_str_mv Switching operation modes in the neocortex via cholinergic neuromodulation
title Switching operation modes in the neocortex via cholinergic neuromodulation
spellingShingle Switching operation modes in the neocortex via cholinergic neuromodulation
Puigbó, Jordi-Ysard
Aprenentatge
Cervell
Neurotransmissors
Learning
Brain
Neurotransmitters
title_short Switching operation modes in the neocortex via cholinergic neuromodulation
title_full Switching operation modes in the neocortex via cholinergic neuromodulation
title_fullStr Switching operation modes in the neocortex via cholinergic neuromodulation
title_full_unstemmed Switching operation modes in the neocortex via cholinergic neuromodulation
title_sort Switching operation modes in the neocortex via cholinergic neuromodulation
dc.creator.none.fl_str_mv Puigbó, Jordi-Ysard
Arsiwalla, Xerxes D.
González Ballester, Miguel Ángel
Verschure, Paul
author Puigbó, Jordi-Ysard
author_facet Puigbó, Jordi-Ysard
Arsiwalla, Xerxes D.
González Ballester, Miguel Ángel
Verschure, Paul
author_role author
author2 Arsiwalla, Xerxes D.
González Ballester, Miguel Ángel
Verschure, Paul
author2_role author
author
author
dc.subject.none.fl_str_mv Aprenentatge
Cervell
Neurotransmissors
Learning
Brain
Neurotransmitters
topic Aprenentatge
Cervell
Neurotransmissors
Learning
Brain
Neurotransmitters
description In order to deal with the uncertainty in the world, our brains need to be able to flexibly switch between the exploration of new sensory representations and exploitation of previously acquired ones. This requires forming accurate estimations of what and how much something is expected. While modeling has allowed for the development of several ways to form predictions, how the brain could implement those is still under debate. Here, we recognize acetylcholine as one of the main neuromodulators driving learning based on uncertainty, promoting the exploration of new sensory representations. We identify its interactions with cortical inhibitory interneurons and derive a biophysically grounded computational model able to capture and learn from uncertainty. This model allows us to understand inhibition beyond gain control by suggesting that different interneuron subtypes either encode predictions or estimate their uncertainty, facilitating detection of unexpected cues. Moreover, we show how acetylcholine-like neuromodulation uniquely interacts with global and local sources of inhibition, disrupting perceptual certainty and promoting the rapid acquisition of new perceptual cues. Altogether, our model proposes that cortical acetylcholine favors sensory exploration over exploitation in a cortical microcircuit dedicated to estimating sensory uncertainty.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/164297
url https://hdl.handle.net/2445/164297
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1007/s12035-019-01764-w
Molecular Neurobiology, 2020, vol. 57, num. 1, p. 139-149
https://doi.org/10.1007/s12035-019-01764-w
info:eu-repo/grantAgreement/EC/H2020/826421
dc.rights.none.fl_str_mv (c) Springer Nature, 2019
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Springer Nature, 2019
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Articles publicats en revistes (Institut de Bioenginyeria de Catalunya (IBEC))
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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