Constructive community race: full-density spiking neural network model drives neuromorphic computing
Neuromorphic Computing and Engineering, vol. 6, pp. 012001
Abstract
Abstract The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a model was proposed representing all neurons and synapses of the stereotypical cortical microcircuit below 1 mm 2 of brain surface. The model reproduces fundamental features of brain activity but its impact remained limited because of its computational demands. For theory and simulation, however, the model was a breakthrough because it is full-scale, therefore free of uncertainties of downscaling, and larger models are less densely connected. This sparked a race in the neuromorphic computing community and the model became a de facto standard benchmark. Within a few years real-time performance was reached and surpassed at significantly reduced energy consumption. We review how the computational challenge was tackled by different simulation technologies and derive guidelines for the next generation of benchmarks and other domains of science.
Authors 17
-
Johanna Senk corresponding
University of Sussex · Forschungszentrum Jülich
Affiliation as printed
Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
Sussex AI, School of Engineering and Informatics, University of Sussex, Brighton, United Kingdom
-
Affiliation as printed
Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
-
Affiliation as printed
Department of Computer Science, University of Manchester, Manchester, United Kingdom
-
Affiliation as printed
Lehrstuhl für Integrierte Digitale Systeme und Schaltungsentwurf (IDS), RWTH Aachen University, Aachen, Germany
-
University of Cagliari · Istituto Nazionale di Fisica Nucleare, Sezione di Cagliari
Affiliation as printed
Department of Physics, University of Cagliari, Monserrato, Italy
Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Cagliari, Monserrato, Italy
-
Affiliation as printed
Neuromorphic Software Ecosystems (PGI-15), Jülich Research Centre, Jülich, Germany
-
Tobias G. Noll Aachen
Affiliation as printed
RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Sussex AI, School of Engineering and Informatics, University of Sussex, Brighton, United Kingdom
-
Affiliation as printed
Department of Computer Science, University of Manchester, Manchester, United Kingdom
-
Affiliation as printed
Department of Computer Science, University of Manchester, Manchester, United Kingdom
-
Affiliation as printed
Institute of Computer Engineering, Heidelberg University, Heidelberg, Germany
-
Affiliation as printed
Lehrstuhl für Integrierte Digitale Systeme und Schaltungsentwurf (IDS), RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
-
Istituto Nazionale di Fisica Nucleare, Sezione di Cagliari
Affiliation as printed
Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Cagliari, Monserrato, Italy
-
Forschungszentrum Jülich · University of Cologne
Affiliation as printed
Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
Institute of Zoology, University of Cologne, Cologne, Germany
-
José Villamar Aachen
Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
RWTH Aachen University, Aachen, Germany
-
Markus Diesmann Aachen Department of Physics Faculty 1 Department of Psychiatry, Psychotherapy and Psychosomatics School of Medicine
Forschungszentrum Jülich · Jülich Aachen Research Alliance · RWTH Aachen University
Affiliation as printed
Department of Physics, Faculty 1, RWTH Aachen University, Aachen, Germany
Department of Psychiatry, Psychotherapy and Psychosomatics, School of Medicine, RWTH Aachen University, Aachen, Germany
Institute for Advanced Simulation (IAS-6), Jülich Research Centre, Jülich, Germany
JARA-Institute Brain Structure-Function Relationships (INM-10), Jülich Research Centre, Jülich, Germany
Cited by 6 stored of 5
6 results
No patents citing this paper on Lens.org (checked 2026-10-06).