Editorial: New theories, models, and AI methods of brain dynamics, brain decoding and neuromodulation

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dc.contributor.authorGuo, Yuzhu
dc.contributor.authorLi, Yang
dc.contributor.authorWei, Hua-Liang
dc.contributor.authorZhao, Yifan
dc.date.accessioned2024-01-18T14:42:38Z
dc.date.available2024-01-18T14:42:38Z
dc.date.issued2023-12-12
dc.description.abstractThe human brain is highly dynamic and complex, supporting a remarkable range of functions by dynamically integrating and coordinating different brain regions and networks across multiple spatial and temporal scales. Research on the human brain has become truly interdisciplinary involving medicine, neurobiology, engineering, and related fields. A thorough understanding of the mechanisms of neuromodulation actions is urgently needed for stimulation parameters optimization, response prediction, and consistent therapy. This Research Topic aims to combine top-down and bottom-up methods to produce robust results that allow for a meaningful interpretation in terms of the underlying brain dynamics with an emphasis on brain decoding and neuromodulation.en_UK
dc.identifier.citationGuo Y, Li Y, Wei H-L, Zhao Y. (2023) Editorial: New theories, models, and AI methods of brain dynamics, brain decoding and neuromodulation. Frontiers in Neuroscience, Volume 17, December 2023en_UK
dc.identifier.issn1662-4548
dc.identifier.urihttps://doi.org/10.3389/fnins.2023.1302505
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20684
dc.language.isoenen_UK
dc.publisherFrontiersen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectbrain dynamicsen_UK
dc.subjectbrain connectivityen_UK
dc.subjectneuromodulationen_UK
dc.subjectbrain decodingen_UK
dc.subjectneural couplingen_UK
dc.titleEditorial: New theories, models, and AI methods of brain dynamics, brain decoding and neuromodulationen_UK
dc.typeArticleen_UK
dcterms.dateAccepted2023-12-04

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