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Sub-realtime simulation of a neuronal network of natural density

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arxiv 2111.04398 v2 pith:OLUODPFE submitted 2021-11-08 cs.DC cs.PF

Anno C. Kurth , Johanna Senk , Dennis Terhorst , Justin Finnerty , Markus Diesmann This is my paper
classification cs.DCcs.PF
keywords biologicalbraindensityfullnetworkneuronalscalesub-realtime
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Full 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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