
doi: 10.1162/imag_a_00137 , 10.18154/rwth-2024-04208 , 10.60692/54tyd-nve66 , 10.60692/81s05-5kk29 , 10.5281/zenodo.6630232 , 10.34734/fzj-2024-02535
handle: 10261/395823 , https://repository.ubn.ru.nl/handle/2066/299084 , 20.500.11755/efa75710-c654-4623-ad8e-01d0705fdee9 , 20.500.14243/510434 , 2066/299084 , 10138/577645 , 21.11116/0000-0010-3A8A-2 , 21.11116/0000-0010-3A88-4 , 21.11116/0000-000F-E1A4-9 , 21.11116/0000-000F-E1A6-7 , 1854/LU-01HV4J47PCZ3V9QS98PK3M3KF2
doi: 10.1162/imag_a_00137 , 10.18154/rwth-2024-04208 , 10.60692/54tyd-nve66 , 10.60692/81s05-5kk29 , 10.5281/zenodo.6630232 , 10.34734/fzj-2024-02535
handle: 10261/395823 , https://repository.ubn.ru.nl/handle/2066/299084 , 20.500.11755/efa75710-c654-4623-ad8e-01d0705fdee9 , 20.500.14243/510434 , 2066/299084 , 10138/577645 , 21.11116/0000-0010-3A8A-2 , 21.11116/0000-0010-3A88-4 , 21.11116/0000-000F-E1A4-9 , 21.11116/0000-000F-E1A6-7 , 1854/LU-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, 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.
DYNAMICS, COGNITIVE DYSFUNCTION, data sharing, Brain research, NEUROBIOLOGY, Review, Analysis of Brain Functional Connectivity Networks, Data science, human brain digital research tools research roadmap brain models data sharing research platforms, Psychiatry - Radboud University Medical Center - DCMN, Medicine and Health Sciences, Psychology, Ensure healthy lives and promote well-being for all at all ages, Psycholinguistics, Digital brain research, Geography, info:eu-repo/classification/ddc/050, research roadmap, Life Sciences, 600, Brain-Computer Interfaces in Neuroscience and Medicine, Science General, FOS: Psychology, PRIMARY VISUAL-CORTEX, VARIABILITY, brain models, Intersection (aeronautics), Life Sciences & Biomedicine, Cartography, 570, Technology and Engineering, 110 000 Neurocognition of Language, Cognitive Neuroscience, MODELS, 050, 610, research platforms., Neuroimaging, ORGANIZATION, human brain, digital research tools, research roadmap, brain models, data sharing, research platforms., http://metadata.un.org/sdg/3, research platforms, Neurology and psychiatry, NEURONAL SYNCHRONY, CEREBRAL-CORTEX, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], human brain, Science & Technology, Brain-inspired technologies, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Neurosciences, ATTENTION, brain models | data sharing | digital research tools | human brain | research platforms | research roadmap, neuroinformatics, Computer science, 3111, digital research tools, Neurosciences & Neurology, 170 000 Motivational & Cognitive Control, computational neuroscience, Neuroscience, ddc: ddc:050
DYNAMICS, COGNITIVE DYSFUNCTION, data sharing, Brain research, NEUROBIOLOGY, Review, Analysis of Brain Functional Connectivity Networks, Data science, human brain digital research tools research roadmap brain models data sharing research platforms, Psychiatry - Radboud University Medical Center - DCMN, Medicine and Health Sciences, Psychology, Ensure healthy lives and promote well-being for all at all ages, Psycholinguistics, Digital brain research, Geography, info:eu-repo/classification/ddc/050, research roadmap, Life Sciences, 600, Brain-Computer Interfaces in Neuroscience and Medicine, Science General, FOS: Psychology, PRIMARY VISUAL-CORTEX, VARIABILITY, brain models, Intersection (aeronautics), Life Sciences & Biomedicine, Cartography, 570, Technology and Engineering, 110 000 Neurocognition of Language, Cognitive Neuroscience, MODELS, 050, 610, research platforms., Neuroimaging, ORGANIZATION, human brain, digital research tools, research roadmap, brain models, data sharing, research platforms., http://metadata.un.org/sdg/3, research platforms, Neurology and psychiatry, NEURONAL SYNCHRONY, CEREBRAL-CORTEX, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], human brain, Science & Technology, Brain-inspired technologies, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Neurosciences, ATTENTION, brain models | data sharing | digital research tools | human brain | research platforms | research roadmap, neuroinformatics, Computer science, 3111, digital research tools, Neurosciences & Neurology, 170 000 Motivational & Cognitive Control, computational neuroscience, Neuroscience, ddc: ddc:050
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 25 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
