The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Katrin Amunts, Markus Axer, Swati Banerjee, Lise Bitsch, Jan G. Bjaalie, Philipp Brauner, Andrea Brovelli, Navona Calarco, Marcel Carrere, Svenja Caspers, Christine J. Charvet, Sven Cichon, Roshan Cools, Irene Costantini, Egidio Ugo D’Angelo, Giulia De Bonis, Gustavo Deco, Javier DeFelipe, Alain Destexhe, Timo DickscheidMarkus Diesmann, Emrah Düzel, Simon B. Eickhoff, Gaute Einevoll, Damian Eke, Andreas K. Engel, Alan C. Evans, Kathinka Evers, Nataliia Fedorchenko, Stephanie J. Forkel, Jan Fousek, Angela D. Friederici, Karl Friston, Stephen Furber, Liesbet Geris, Rainer Goebel, Onur Güntürkün, Aini Ismafairus Abd Hamid, Christina Herold, Claus C. Hilgetag, Sabine M. Hölter, Yannis Ioannidis, Viktor Jirsa, Sriranga Kashyap, Burkhard S. Kasper, Alban de Kerchove d’Exaerde, Roxana Kooijmans, István Koren, Jeanette Hellgren Kotaleski, Gregory Kiar, Wouter Klijn, Lars Klüver, Alois C. Knoll, Zeljka Krsnik, Julia Kämpfer, Matthew E Larkum, Marja-Leena Linne, Thomas Lippert, Jafri Malin Abdullah, Paola Di Maio, Neville Magielse, Pierre Maquet, Anna Letizia Allegra Mascaro, Daniele Marinazzo, Jorge Mejias, Andreas Meyer-Lindenberg, Michele Migliore, Judith Michael, Yannick Morel, Fabrice O. Morin, Lars Muckli, Guy Nagels, Lena Oden, Nicola Palomero-Gallagher, Fanis Panagiotaropoulos, Pier Stanislao Paolucci, Cyriel Pennartz, Liesbet M. Peeters, Spase Petkoski, Nicolai Petkov, Lucy S. Petro, Mihai A. Petrovici, Giovanni Pezzulo, Pieter Roelfsema, Laurence Ris, Petra Ritter, Kathleen Rockland, Stefan Rotter, Andreas Rowald, Sabine Ruland, Philippe Ryvlin, Arleen Salles, Maria V. Sanchez-Vives, Johannes Schemmel, Walter Senn, Alexandra A. de Sousa, Felix Ströckens, Bertrand Thirion, Kâmil Uludağ, Simo Vanni, Sacha Jennifer van Albada, Wim Vanduffel, Julien Vezoli, Lisa Vincenz-Donnelly, Florian Walter, Laszlo Zaborszky

Research output: Contribution to journalArticleScientificpeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)1-35
Number of pages35
JournalImaging Neuroscience
Volume2
DOIs
Publication statusPublished - 2024
Publication typeA1 Journal article-refereed

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