Journal Article

FZJ-2022-02348

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Sub-realtime simulation of a neuronal network of natural density

Kurth, A. C. (Corresponding author)FZJ* ; Senk, J.FZJ* ; Terhorst, D.FZJ* ; Finnerty, J.FZJ* ; Diesmann, M.FZJ*

2022
IOP Publishing Ltd. Bristol

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Please use a persistent id in citations: http://hdl.handle.net/2128/31303  doi:10.1088/2634-4386/ac55fc

Abstract: 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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Contributing Institute(s):

1. Computational and Systems Neuroscience (INM-6)
2. Theoretical Neuroscience (IAS-6)
3. Jara-Institut Brain structure-function relationships (INM-10)

Research Program(s):

1. 5234 - Emerging NC Architectures (POF4-523) (POF4-523)
2. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
3. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
4. HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) (945539)
5. ACA - Advanced Computing Architectures (SO-092) (SO-092)

Appears in the scientific report 2022

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Database coverage:
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