Neurotransmission-modulated whole-brain computation captures full task repertoire

An important unsolved problem is how the brain survives in a complex world by performing a rich repertoire of computation on a minimal energy budget. Despite using a seemingly fixed architecture, the brain performs much better than current generations of computers and artificial intelligence. Neurom...

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Autores: Deco, Gustavo, Sanz Perl, Yonatan, Vohryzek, Jakub, Luppi, Andrea I., Kringelbach, Morten L.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:dnet:recercat____::f183a63062810f4aa8b642229eb8a8bf
Acesso em linha:https://hdl.handle.net/10230/73249
http://dx.doi.org/10.1016/j.celrep.2025.116816
Access Level:acceso abierto
Palavra-chave:Computation
Brain dynamics
Whole-brain modeling
fMRI
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spelling Neurotransmission-modulated whole-brain computation captures full task repertoireDeco, GustavoSanz Perl, YonatanVohryzek, JakubLuppi, Andrea I.Kringelbach, Morten L.ComputationBrain dynamicsWhole-brain modelingfMRIAn important unsolved problem is how the brain survives in a complex world by performing a rich repertoire of computation on a minimal energy budget. Despite using a seemingly fixed architecture, the brain performs much better than current generations of computers and artificial intelligence. Neuromodulation is updating the effectiveness of signal transmission, giving rise to variable effective connectivity between regions to allow computational richness. Here, we integrate 19 empirical neurotransmitter maps as modulators of the underlying local regional dynamics in a whole-brain model of human brain activity. Our neurotransmission-modulated (NEMO) framework flexibly computes different tasks. For each individual, "brain computability" is defined as the ability to fit all tasks. Brain computability correlates with behavioral performance on individual tasks and with a general behavioral measure of intelligence. Overall, NEMO sculpts brain dynamics in a fixed brain architecture to compute the rich repertoire of tasks required for surviving and thriving.G.D. is supported by grant PID2022-136216NB-I00 funded by MICIU/AEI/10.13039/501100011033 and by 'ERDF A way of making Europe', ERDF, EU, Project Neurological Mechanisms of Injury and Sleep-like Cellular Dynamics (NEMESIS) (ref. 101071900) funded by the EU ERC Synergy Horizon Europe, and an AGAUR research support grant (ref. 2021 SGR 00917) funded by the Department of Research and Universities of the Generalitat of Catalunya. Y.S.P. and J.V. are supported by the project NEMESIS (ref. 101071900) funded by the EU ERC Synergy Horizon Europe. M.L.K. is supported by the Centre for Eudaimonia and Human Flourishing (funded by the Pettit and Carlsberg Foundations) and Center for Music in the Brain (funded by the Danish National Research Foundation, DNRF117). A.I.L. acknowledges support of a Wellcome Early-Career Award (grant no. 226924/Z/23/Z) and St John's College, Cambridge. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Elsevier2026202620262026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/10230/73249http://dx.doi.org/10.1016/j.celrep.2025.116816https://hdl.handle.net/10230/73249reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésCell reports. 2026 Jan 27;45(1):116816info:eu-repo/grantAgreement/ES/3PE/PID2022-136216NB-I00info:eu-repo/grantAgreement/EC/H2020/101071900© 2025 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:dnet:recercat____::f183a63062810f4aa8b642229eb8a8bf2026-05-29T05:05:01Z
dc.title.none.fl_str_mv Neurotransmission-modulated whole-brain computation captures full task repertoire
title Neurotransmission-modulated whole-brain computation captures full task repertoire
spellingShingle Neurotransmission-modulated whole-brain computation captures full task repertoire
Deco, Gustavo
Computation
Brain dynamics
Whole-brain modeling
fMRI
title_short Neurotransmission-modulated whole-brain computation captures full task repertoire
title_full Neurotransmission-modulated whole-brain computation captures full task repertoire
title_fullStr Neurotransmission-modulated whole-brain computation captures full task repertoire
title_full_unstemmed Neurotransmission-modulated whole-brain computation captures full task repertoire
title_sort Neurotransmission-modulated whole-brain computation captures full task repertoire
dc.creator.none.fl_str_mv Deco, Gustavo
Sanz Perl, Yonatan
Vohryzek, Jakub
Luppi, Andrea I.
Kringelbach, Morten L.
author Deco, Gustavo
author_facet Deco, Gustavo
Sanz Perl, Yonatan
Vohryzek, Jakub
Luppi, Andrea I.
Kringelbach, Morten L.
author_role author
author2 Sanz Perl, Yonatan
Vohryzek, Jakub
Luppi, Andrea I.
Kringelbach, Morten L.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Computation
Brain dynamics
Whole-brain modeling
fMRI
topic Computation
Brain dynamics
Whole-brain modeling
fMRI
description An important unsolved problem is how the brain survives in a complex world by performing a rich repertoire of computation on a minimal energy budget. Despite using a seemingly fixed architecture, the brain performs much better than current generations of computers and artificial intelligence. Neuromodulation is updating the effectiveness of signal transmission, giving rise to variable effective connectivity between regions to allow computational richness. Here, we integrate 19 empirical neurotransmitter maps as modulators of the underlying local regional dynamics in a whole-brain model of human brain activity. Our neurotransmission-modulated (NEMO) framework flexibly computes different tasks. For each individual, "brain computability" is defined as the ability to fit all tasks. Brain computability correlates with behavioral performance on individual tasks and with a general behavioral measure of intelligence. Overall, NEMO sculpts brain dynamics in a fixed brain architecture to compute the rich repertoire of tasks required for surviving and thriving.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/10230/73249
http://dx.doi.org/10.1016/j.celrep.2025.116816
https://hdl.handle.net/10230/73249
url https://hdl.handle.net/10230/73249
http://dx.doi.org/10.1016/j.celrep.2025.116816
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Cell reports. 2026 Jan 27;45(1):116816
info:eu-repo/grantAgreement/ES/3PE/PID2022-136216NB-I00
info:eu-repo/grantAgreement/EC/H2020/101071900
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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