TY  - JOUR
AU  - Amunts, Katrin
AU  - Lippert, Thomas
TI  - Brain research challenges supercomputing
JO  - Science
VL  - 374
IS  - 6571
SN  - 0036-8075
CY  - Cambridge, Mass.
PB  - Moses King
M1  - FZJ-2021-04726
SP  - 1054 - 1055
PY  - 2021
AB  - The adult human brain contains ∼86 billion neurons (1). Zooming into its cellular and subcellular details to reveal different aspects of neuronal connectivity is a key area of research. However, to link the different spatial scales from the synaptic level (at nanometer range) through single neurons and glial cells (at the micrometer level) to the whole organ is most challenging. Recently, the connectome of Caenorhabditis elegans, with its 302 neurons, has been characterized, and a complete structural-functional model has been proposed (2). A comparable level of detail of the human brain connectome is still a long way off. As such, decoding the human connectome, the mechanisms of signal transduction, and relationships to brain function are linked to exponentially growing challenges in advanced computational and storage technologies, which in turn may lead to creative solutions beyond neuroscience.
LB  - PUB:(DE-HGF)16
C6  - pmid:34822267
UR  - <Go to ISI:>//WOS:000725668600021
DO  - DOI:10.1126/science.abl8519
UR  - https://juser.fz-juelich.de/record/902980
ER  -