TY  - JOUR
AU  - Kurth, Anno C
AU  - Senk, Johanna
AU  - Terhorst, Dennis
AU  - Finnerty, Justin
AU  - Diesmann, Markus
TI  - Sub-realtime simulation of a neuronal network of natural density
JO  - Neuromorphic computing and engineering
VL  - 2
IS  - 2
SN  - 2634-4386
CY  - Bristol
PB  - IOP Publishing Ltd.
M1  - FZJ-2022-02348
SP  - 021001
PY  - 2022
AB  - 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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:001064089200001
DO  - DOI:10.1088/2634-4386/ac55fc
UR  - https://juser.fz-juelich.de/record/908053
ER  -