Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate

Billaudelle, S.; Stradmann, Y.; Schreiber, K.; Cramer, B.; Baumbach, A.; Dold, D.; Goltz, J.; Kungl, A.F.; Wunderlich, T. C.; Hartel, A.; Muller, E.; Breitwieser, O.; Mauch, C.; Kleider, M.; Grubl, A.; Stockel, D.; Pehle, C.; Heimbrecht, A.; Spilger, P.; Kiene, G.; ... (2020). Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate. IEEE Xplore, pp. 1-5. IEEE 10.1109/ISCAS45731.2020.9180741

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We present first experimental results on the novel BrainScaleS-2 neuromorphic architecture based on an analog neuro-synaptic core and augmented by embedded microprocessors for complex plasticity and experiment control. The high acceleration factor of 1000 compared to biological dynamics enables the execution of computationally expensive tasks, by allowing the fast emulation of long-duration experiments or rapid iteration over many consecutive trials. The flexibility of our architecture is demonstrated in a suite of five distinct experiments, which emphasize different aspects of the BrainScaleS-2 system.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Physiology

UniBE Contributor:

Kungl, Akos Ferenc, Senn, Walter, Petrovici, Mihai Alexandru

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2158-1525

Publisher:

IEEE

Submitter:

Stefan von Känel-Zimmermann

Date Deposited:

06 Jan 2021 08:33

Last Modified:

05 Dec 2022 15:43

Publisher DOI:

10.1109/ISCAS45731.2020.9180741

BORIS DOI:

10.48350/149640

URI:

https://boris.unibe.ch/id/eprint/149640

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