TY - JOUR

T1 - Linking Brain Structure, Activity, and Cognitive Function through Computation

AU - Amunts, Katrin

AU - Defelipe, Javier

AU - Pennartz, Cyriel

AU - Destexhe, Alain

AU - Migliore, Michele

AU - Ryvlin, Philippe

AU - Furber, Steve

AU - Knoll, Alois

AU - Bitsch, Lise

AU - Bjaalie, Jan G.

AU - Ioannidis, Yannis

AU - Lippert, Thomas

AU - Sanchez-Vives, Maria V.

AU - Goebel, Rainer

AU - Jirsa, Viktor

N1 - Publisher Copyright: © 2022 Amunts et al.

PY - 2022

Y1 - 2022

N2 - Understanding the human brain is a “Grand Challenge” for 21st century research. Computational approaches enable large and complex datasets to be addressed efficiently, supported by artificial neural networks, modeling and simulation. Dynamic generative multiscale models, which enable the investigation of causation across scales and are guided by principles and theories of brain function, are instrumental for linking brain structure and function. An example of a resource enabling such an integrated approach to neuroscientific discovery is the BigBrain, which spatially anchors tissue models and data across different scales and ensures that multiscale models are supported by the data, making the bridge to both basic neuroscience and medicine. Research at the intersection of neuro-science, computing and robotics has the potential to advance neuro-inspired technologies by taking advantage of a growing body of insights into perception, plasticity and learning. To render data, tools and methods, theories, basic principles and concepts interoperable, the Human Brain Project (HBP) has launched EBRAINS, a digital neu-roscience research infrastructure, which brings together a transdisciplinary community of researchers united by the quest to understand the brain, with fascinating insights and perspectives for societal benefits.

AB - Understanding the human brain is a “Grand Challenge” for 21st century research. Computational approaches enable large and complex datasets to be addressed efficiently, supported by artificial neural networks, modeling and simulation. Dynamic generative multiscale models, which enable the investigation of causation across scales and are guided by principles and theories of brain function, are instrumental for linking brain structure and function. An example of a resource enabling such an integrated approach to neuroscientific discovery is the BigBrain, which spatially anchors tissue models and data across different scales and ensures that multiscale models are supported by the data, making the bridge to both basic neuroscience and medicine. Research at the intersection of neuro-science, computing and robotics has the potential to advance neuro-inspired technologies by taking advantage of a growing body of insights into perception, plasticity and learning. To render data, tools and methods, theories, basic principles and concepts interoperable, the Human Brain Project (HBP) has launched EBRAINS, a digital neu-roscience research infrastructure, which brings together a transdisciplinary community of researchers united by the quest to understand the brain, with fascinating insights and perspectives for societal benefits.

KW - Artificial neuronal networks

KW - Brain complexity

KW - Connectivity

KW - Human brain mapping

KW - Multiscale brain organization

KW - Neuro-inspired technology

U2 - 10.1523/ENEURO.0316-21.2022

DO - 10.1523/ENEURO.0316-21.2022

M3 - Journal article

C2 - 35217544

AN - SCOPUS:85126303797

VL - 9

JO - eNeuro

JF - eNeuro

SN - 2373-2822

IS - 2

ER -