TY - JOUR
T1 - The coming decade of digital brain research
T2 - A vision for neuroscience at the intersection of technology and computing
AU - Amunts, Katrin
AU - Axer, Markus
AU - Banerjee, Swati
AU - Bitsch, Lise
AU - Bjaalie, Jan G.
AU - Brauner, Philipp
AU - Brovelli, Andrea
AU - Calarco, Navona
AU - Carrere, Marcel
AU - Caspers, Svenja
AU - Charvet, Christine J.
AU - Cichon, Sven
AU - Cools, Roshan
AU - Costantini, Irene
AU - D’Angelo, Egidio Ugo
AU - De Bonis, Giulia
AU - Deco, Gustavo
AU - DeFelipe, Javier
AU - Destexhe, Alain
AU - Dickscheid, Timo
AU - Diesmann, Markus
AU - Düzel, Emrah
AU - Eickhoff, Simon B.
AU - Einevoll, Gaute
AU - Eke, Damian
AU - Engel, Andreas K.
AU - Evans, Alan C.
AU - Evers, Kathinka
AU - Fedorchenko, Nataliia
AU - Forkel, Stephanie J.
AU - Fousek, Jan
AU - Friederici, Angela D.
AU - Friston, Karl
AU - Furber, Stephen
AU - Geris, Liesbet
AU - Goebel, Rainer
AU - Güntürkün, Onur
AU - Hamid, Aini Ismafairus Abd
AU - Herold, Christina
AU - Hilgetag, Claus C.
AU - Hölter, Sabine M.
AU - Ioannidis, Yannis
AU - Jirsa, Viktor
AU - Kashyap, Sriranga
AU - Kasper, Burkhard S.
AU - d’Exaerde, Alban de Kerchove
AU - Kooijmans, Roxana
AU - Koren, István
AU - Kotaleski, Jeanette Hellgren
AU - Morel, Yannick
AU - Et al.
N1 - Funding Information:
The coordination of the discussion leading to this paper has been supported by funding of the European Union\u2019s Horizon 2020 Framework Programme for Research and Innovation (Specific Grant Agreement No. 945539, HBP SGA3 and No. 101147319, EBRAINS 2.0 Project). The Human Brain Project is a collaborative, interdisciplinary effort including groups from more than 20 countries. This work would not have been possible without the abiding commitment, scientific curiosity, and hard work of the entire HBP consortium and the support of their research institutions. We thank Peter Zekert for his assistance with the preparation of this manuscript. This manuscript has been edited for spelling, grammar, consistency, and legibility by Neysan Donnelly.
Publisher Copyright:
© 2024 Massachusetts Institute of Technology. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
PY - 2024/4/18
Y1 - 2024/4/18
N2 - In recent years, brain research has indisputably entered a new epoch, driven by substantial methodological advances and digitally enabled data integration and modelling at multiple scales—from molecules to the whole brain. Major advances are emerging at the intersection of neuroscience with technology and computing. This new science of the brain combines high-quality research, data integration across multiple scales, a new culture of multidisciplinary large-scale collaboration, and translation into applications. As pioneered in Europe’s Human Brain Project (HBP), a systematic approach will be essential for meeting the coming decade’s pressing medical and technological challenges. The aims of this paper are to: develop a concept for the coming decade of digital brain research, discuss this new concept with the research community at large, identify points of convergence, and derive therefrom scientific common goals; provide a scientific framework for the current and future development of EBRAINS, a research infrastructure resulting from the HBP’s work; inform and engage stakeholders, funding organisations and research institutions regarding future digital brain research; identify and address the transformational potential of comprehensive brain models for artificial intelligence, including machine learning and deep learning; outline a collaborative approach that integrates reflection, dialogues, and societal engagement on ethical and societal opportunities and challenges as part of future neuroscience research.
AB - In recent years, brain research has indisputably entered a new epoch, driven by substantial methodological advances and digitally enabled data integration and modelling at multiple scales—from molecules to the whole brain. Major advances are emerging at the intersection of neuroscience with technology and computing. This new science of the brain combines high-quality research, data integration across multiple scales, a new culture of multidisciplinary large-scale collaboration, and translation into applications. As pioneered in Europe’s Human Brain Project (HBP), a systematic approach will be essential for meeting the coming decade’s pressing medical and technological challenges. The aims of this paper are to: develop a concept for the coming decade of digital brain research, discuss this new concept with the research community at large, identify points of convergence, and derive therefrom scientific common goals; provide a scientific framework for the current and future development of EBRAINS, a research infrastructure resulting from the HBP’s work; inform and engage stakeholders, funding organisations and research institutions regarding future digital brain research; identify and address the transformational potential of comprehensive brain models for artificial intelligence, including machine learning and deep learning; outline a collaborative approach that integrates reflection, dialogues, and societal engagement on ethical and societal opportunities and challenges as part of future neuroscience research.
KW - brain models
KW - data sharing
KW - digital research tools
KW - human brain
KW - research platforms
KW - research roadmap
U2 - 10.1162/imag_a_00137
DO - 10.1162/imag_a_00137
M3 - (Systematic) Review article
SN - 2837-6056
VL - 2
SP - 1
EP - 35
JO - Imaging Neuroscience
JF - Imaging Neuroscience
ER -