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000902980 1001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b0$$eCorresponding author$$ufzj
000902980 245__ $$aBrain research challenges supercomputing
000902980 260__ $$aCambridge, Mass.$$bMoses King$$c2021
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000902980 520__ $$aThe 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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000902980 7001_ $$0P:(DE-Juel1)132179$$aLippert, Thomas$$b1$$ufzj
000902980 773__ $$0PERI:(DE-600)2066996-3$$a10.1126/science.abl8519$$gVol. 374, no. 6571, p. 1054 - 1055$$n6571$$p1054 - 1055$$tScience$$v374$$x0036-8075$$y2021
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