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000905995 005__ 20240313103119.0
000905995 0247_ $$2arXiv$$aarXiv:2111.04398
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000905995 037__ $$aFZJ-2022-01168
000905995 1001_ $$0P:(DE-Juel1)176776$$aKurth, Anno$$b0$$eCorresponding author
000905995 245__ $$aSub-realtime simulation of a neuronal network of natural density
000905995 260__ $$c2021
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000905995 520__ $$aFull scale simulations of neuronal network models of the brain are challenging due to the high density of connections between neurons. This contribution reports run times shorter than the simulated span of biological time for a full scale model of the local cortical microcircuit with explicit representation of synapses on a recent conventional compute node. Realtime performance is relevant for robotics and closed-loop applications while sub-realtime is desirable for the study of learning and development in the brain, processes extending over hours and days of biological time.
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000905995 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x3
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000905995 7001_ $$0P:(DE-Juel1)162130$$aSenk, Johanna$$b1
000905995 7001_ $$0P:(DE-Juel1)169778$$aTerhorst, Dennis$$b2
000905995 7001_ $$0P:(DE-Juel1)174496$$aFinnerty, Justin$$b3
000905995 7001_ $$0P:(DE-Juel1)144174$$aDiesmann, Markus$$b4
000905995 8564_ $$uhttps://arxiv.org/abs/2111.04398
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000905995 9141_ $$y2022
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