What Models and Tools can Contribute to a Better Understanding of Brain Activity?

Despite impressive scientific advances in understanding the structure and function of the human brain, big challenges remain. A deep understanding of healthy and aberrant brain activity at a wide range of temporal and spatial scales is needed. Here we discuss, from an interdisciplinary network persp...

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Detalles Bibliográficos
Autores principales: Goodfellow, Marc, Andrzejak, Ralph G., Masoller, Cristina, Lehnertz, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Network Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013030/
https://www.ncbi.nlm.nih.gov/pubmed/36926061
http://dx.doi.org/10.3389/fnetp.2022.907995
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author Goodfellow, Marc
Andrzejak, Ralph G.
Masoller, Cristina
Lehnertz, Klaus
author_facet Goodfellow, Marc
Andrzejak, Ralph G.
Masoller, Cristina
Lehnertz, Klaus
author_sort Goodfellow, Marc
collection PubMed
description Despite impressive scientific advances in understanding the structure and function of the human brain, big challenges remain. A deep understanding of healthy and aberrant brain activity at a wide range of temporal and spatial scales is needed. Here we discuss, from an interdisciplinary network perspective, the advancements in physical and mathematical modeling as well as in data analysis techniques that, in our opinion, have potential to further advance our understanding of brain structure and function.
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spelling pubmed-100130302023-03-15 What Models and Tools can Contribute to a Better Understanding of Brain Activity? Goodfellow, Marc Andrzejak, Ralph G. Masoller, Cristina Lehnertz, Klaus Front Netw Physiol Network Physiology Despite impressive scientific advances in understanding the structure and function of the human brain, big challenges remain. A deep understanding of healthy and aberrant brain activity at a wide range of temporal and spatial scales is needed. Here we discuss, from an interdisciplinary network perspective, the advancements in physical and mathematical modeling as well as in data analysis techniques that, in our opinion, have potential to further advance our understanding of brain structure and function. Frontiers Media S.A. 2022-07-18 /pmc/articles/PMC10013030/ /pubmed/36926061 http://dx.doi.org/10.3389/fnetp.2022.907995 Text en Copyright © 2022 Goodfellow, Andrzejak, Masoller and Lehnertz. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Network Physiology
Goodfellow, Marc
Andrzejak, Ralph G.
Masoller, Cristina
Lehnertz, Klaus
What Models and Tools can Contribute to a Better Understanding of Brain Activity?
title What Models and Tools can Contribute to a Better Understanding of Brain Activity?
title_full What Models and Tools can Contribute to a Better Understanding of Brain Activity?
title_fullStr What Models and Tools can Contribute to a Better Understanding of Brain Activity?
title_full_unstemmed What Models and Tools can Contribute to a Better Understanding of Brain Activity?
title_short What Models and Tools can Contribute to a Better Understanding of Brain Activity?
title_sort what models and tools can contribute to a better understanding of brain activity?
topic Network Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013030/
https://www.ncbi.nlm.nih.gov/pubmed/36926061
http://dx.doi.org/10.3389/fnetp.2022.907995
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