Journal Article

FZJ-2021-04726

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Brain research challenges supercomputing

Amunts, K. (Corresponding author)FZJ* ; Lippert, T.FZJ*

2021
Moses King Cambridge, Mass.

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Please use a persistent id in citations: http://hdl.handle.net/2128/29277  doi:10.1126/science.abl8519

Abstract: 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.

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Contributing Institute(s):

1. Strukturelle und funktionelle Organisation des Gehirns (INM-1)
2. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)
2. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
3. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2021

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