Show simple item record

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

dc.contributor.authorGoodfellow, M
dc.contributor.authorAndrzejak, RG
dc.contributor.authorMasoller, C
dc.contributor.authorLehnertz, K
dc.date.accessioned2022-11-10T10:46:29Z
dc.date.issued2022-07-18
dc.date.updated2022-11-09T20:21:29Z
dc.description.abstractDespite 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.en_GB
dc.description.sponsorshipSpanish Ministry of Science and Innovationen_GB
dc.description.sponsorshipState Research Agencyen_GB
dc.description.sponsorshipSpanish Ministerio de Ciencia, Innovacion y Universidadesen_GB
dc.description.sponsorshipCREA ACADEMIA program, Generalitat de Catalunyaen_GB
dc.format.extent907995-
dc.identifier.citationVol. 2, article 907995en_GB
dc.identifier.doihttps://doi.org/10.3389/fnetp.2022.907995
dc.identifier.grantnumberPID 2020-118196GB-I00/MICIN/AEI/10.13039/501100011033en_GB
dc.identifier.grantnumberPID2021-123994NB-C21en_GB
dc.identifier.urihttp://hdl.handle.net/10871/131722
dc.identifierORCID: 0000-0002-7282-7280 (Goodfellow, Marc)
dc.language.isoenen_GB
dc.publisherFrontiers Mediaen_GB
dc.rights© 2022 Goodfellow, Andrzejak, Masoller and Lehnertz. 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.en_GB
dc.subjectneuroscienceen_GB
dc.subjectnetworken_GB
dc.subjectdynamical systemsen_GB
dc.subjectdata analysisen_GB
dc.subjectbrainen_GB
dc.titleWhat Models and Tools can Contribute to a Better Understanding of Brain Activity?en_GB
dc.typeArticleen_GB
dc.date.available2022-11-10T10:46:29Z
dc.identifier.issn2674-0109
dc.descriptionThis is the final version. Available on open access from Frontiers Media via the DOI in this recorden_GB
dc.descriptionData Availability Statement: The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.en_GB
dc.identifier.eissn2674-0109
dc.identifier.journalFrontiers in Network Physiologyen_GB
dc.relation.ispartofFrontiers in Network Physiology, 2
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-06-06
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-07-18
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-11-10T10:43:28Z
refterms.versionFCDVoR
refterms.dateFOA2022-11-10T10:46:34Z
refterms.panelBen_GB
refterms.dateFirstOnline2022-07-18


Files in this item

Name:
fnetp-02-907995.pdf
Size:
659.5Kb
Format:
PDF
Description:
What Models and Tools can ...
View/Open

This item appears in the following Collection(s)

Show simple item record

© 2022 Goodfellow, Andrzejak, Masoller and Lehnertz. 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.
Except where otherwise noted, this item's licence is described as © 2022 Goodfellow, Andrzejak, Masoller and Lehnertz. 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.