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What Models and Tools can Contribute to a Better Understanding of Brain Activity?
Goodfellow, Marc; Andrzejak, Ralph G; Masoller, Cristina; Lehnertz, Klaus.
Afiliação
  • Goodfellow M; Living Systems Institute, University of Exeter, Exeter, United Kingdom.
  • Andrzejak RG; Department of Information and Communication Technologies, University Pompeu Fabra, Barcelona, Spain.
  • Masoller C; Department of Physics, Universitat Politecnica de Catalunya, Barcelona, Spain.
  • Lehnertz K; Department of Epileptology, University of Bonn Medical Centre, Bonn, Germany.
Front Netw Physiol ; 2: 907995, 2022.
Article em En | MEDLINE | ID: mdl-36926061
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article