TY - JOUR
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
TI - Linking brain structure, activity and cognitive function through computation
JO - eNeuro
VL - 9
IS - 2
SN - 2373-2822
CY - Washington, DC
PB - Soc.
M1 - FZJ-2022-01563
SP - ENEURO.0316-21.2022
PY - 2022
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 neuroscience, 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 neuroscience 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.
LB - PUB:(DE-HGF)16
C6 - pmid:35217544
UR - <Go to ISI:>//WOS:000770084400001
DO - DOI:10.1523/ENEURO.0316-21.2022
UR - https://juser.fz-juelich.de/record/906627
ER -