
The coming decade of digital brain research : a vision for neuroscience at the intersection of technology and computing
- Author
- 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 Dickscheid, Markus 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 (UGent) , 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 and Laszlo Zaborszky
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- Project
- 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, to 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.
- Keywords
- computational neuroscience, neuroinformatics, human brain, digital research tools, research roadmap, brain models, data sharing, research platforms
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Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HV4J47PCZ3V9QS98PK3M3KF2
- MLA
- Amunts, Katrin, et al. “The Coming Decade of Digital Brain Research : A Vision for Neuroscience at the Intersection of Technology and Computing.” IMAGING NEUROSCIENCE (CAMBRIDGE, MASS.), vol. 2, 2024, doi:10.1162/imag_a_00137.
- APA
- Amunts, K., Axer, M., Banerjee, S., Bitsch, L., Bjaalie, J. G., Brauner, P., … Zaborszky, L. (2024). The coming decade of digital brain research : a vision for neuroscience at the intersection of technology and computing. IMAGING NEUROSCIENCE (CAMBRIDGE, MASS.), 2. https://doi.org/10.1162/imag_a_00137
- Chicago author-date
- Amunts, Katrin, Markus Axer, Swati Banerjee, Lise Bitsch, Jan G. Bjaalie, Philipp Brauner, Andrea Brovelli, et al. 2024. “The Coming Decade of Digital Brain Research : A Vision for Neuroscience at the Intersection of Technology and Computing.” IMAGING NEUROSCIENCE (CAMBRIDGE, MASS.) 2. https://doi.org/10.1162/imag_a_00137.
- Chicago author-date (all authors)
- Amunts, Katrin, 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 Dickscheid, Markus 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, and Laszlo Zaborszky. 2024. “The Coming Decade of Digital Brain Research : A Vision for Neuroscience at the Intersection of Technology and Computing.” IMAGING NEUROSCIENCE (CAMBRIDGE, MASS.) 2. doi:10.1162/imag_a_00137.
- Vancouver
- 1.Amunts K, Axer M, Banerjee S, Bitsch L, Bjaalie JG, Brauner P, et al. The coming decade of digital brain research : a vision for neuroscience at the intersection of technology and computing. IMAGING NEUROSCIENCE (CAMBRIDGE, MASS). 2024;2.
- IEEE
- [1]K. Amunts et al., “The coming decade of digital brain research : a vision for neuroscience at the intersection of technology and computing,” IMAGING NEUROSCIENCE (CAMBRIDGE, MASS.), vol. 2, 2024.
@article{01HV4J47PCZ3V9QS98PK3M3KF2, 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, to 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.}}, articleno = {{00137}}, author = {{Amunts, Katrin and Axer, Markus and Banerjee, Swati and Bitsch, Lise and Bjaalie, Jan G. and Brauner, Philipp and Brovelli, Andrea and Calarco, Navona and Carrere, Marcel and Caspers, Svenja and Charvet, Christine J. and Cichon, Sven and Cools, Roshan and Costantini, Irene and D'Angelo, Egidio Ugo and De Bonis, Giulia and Deco, Gustavo and DeFelipe, Javier and Destexhe, Alain and Dickscheid, Timo and Diesmann, Markus and Düzel, Emrah and Eickhoff, Simon B. and Einevoll, Gaute and Eke, Damian and Engel, Andreas K. and Evans, Alan C. and Evers, Kathinka and Fedorchenko, Nataliia and Forkel, Stephanie J. and Fousek, Jan and Friederici, Angela D. and Friston, Karl and Furber, Stephen and Geris, Liesbet and Goebel, Rainer and Güntürkün, Onur and Hamid, Aini Ismafairus Abd and Herold, Christina and Hilgetag, Claus C. and Hölter, Sabine M. and Ioannidis, Yannis and Jirsa, Viktor and Kashyap, Sriranga and Kasper, Burkhard S. and d’Exaerde, Alban de Kerchove and Kooijmans, Roxana and Koren, István and Kotaleski, Jeanette Hellgren and Kiar, Gregory and Klijn, Wouter and Klüver, Lars and Knoll, Alois C. and Krsnik, Zeljka and Kämpfer, Julia and Larkum, Matthew E and Linne, Marja-Leena and Lippert, Thomas and Abdullah, Jafri Malin and Maio, Paola Di and Magielse, Neville and Maquet, Pierre and Mascaro, Anna Letizia Allegra and Marinazzo, Daniele and Mejias, Jorge and Meyer-Lindenberg, Andreas and Migliore, Michele and Michael, Judith and Morel, Yannick and Morin, Fabrice O. and Muckli, Lars and Nagels, Guy and Oden, Lena and Palomero-Gallagher, Nicola and Panagiotaropoulos, Fanis and Paolucci, Pier Stanislao and Pennartz, Cyriel and Peeters, Liesbet M. and Petkoski, Spase and Petkov, Nicolai and Petro, Lucy S. and Petrovici, Mihai A. and Pezzulo, Giovanni and Roelfsema, Pieter and Ris, Laurence and Ritter, Petra and Rockland, Kathleen and Rotter, Stefan and Rowald, Andreas and Ruland, Sabine and Ryvlin, Philippe and Salles, Arleen and Sanchez-Vives, Maria V. and Schemmel, Johannes and Senn, Walter and de Sousa, Alexandra A. and Ströckens, Felix and Thirion, Bertrand and Uludağ, Kâmil and Vanni, Simo and van Albada, Sacha Jennifer and Vanduffel, Wim and Vezoli, Julien and Vincenz-Donnelly, Lisa and Walter, Florian and Zaborszky, Laszlo}}, issn = {{2837-6056}}, journal = {{IMAGING NEUROSCIENCE (CAMBRIDGE, MASS.)}}, keywords = {{computational neuroscience,neuroinformatics,human brain,digital research tools,research roadmap,brain models,data sharing,research platforms}}, language = {{eng}}, pages = {{35}}, title = {{The coming decade of digital brain research : a vision for neuroscience at the intersection of technology and computing}}, url = {{http://doi.org/10.1162/imag_a_00137}}, volume = {{2}}, year = {{2024}}, }
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