Science: Wie die Hirnforschung das Supercomputing herausfordert
Katrin Amunts and Thomas Lippert, Brain research challenges supercomputing, Science 374 (6571), 1054-1055 (2021)
In der Ausgabe Band 374, issue 6571 von Science erläutern Katrin Amunts und Thomas Lippert, warum Fortschritte in den Neurowissenschaften eng mit den Entwicklungen im Hochleistungsrechnen verbunden sind und letztlich Supercomputer mit Exascale-Rechenleistung benötigen.
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Science: Wie die Hirnforschung das Supercomputing herausfordert
Original-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.