Sub-realtime simulation of a neuronal network of natural density. Issue 2 (1st June 2022)

• Record Type: Journal Article
• Authors: Kurth, Anno C; Senk, Johanna; Terhorst, Dennis; Finnerty, Justin; Diesmann, Markus
• Is Part Of: Neuromorphic computing and engineering. Volume 2:Issue 2(2022)
• Publication Date: 2022-06-01
• Subjects: spiking network dynamics -- energy benchmark -- energy per synaptic event; Neural networks (Computer science) -- Periodicals; Neural computers -- Periodicals; Neuromorphics -- Periodicals; 006.3
• DOI: 10.1088/2634-4386/ac55fc
• Languages: English
• ISSNs: 2634-4386

Abstract

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.