Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate
Sebastian Billaudelle
Yannik Stradmann
Korbinian Schreiber
Benjamin Cramer
A. Baumbach
Dominik Dold
Julian Goltz
Á. F. Kungl
Timo C. Wunderlich
Andreas Hartel
Eric Müller
O. Breitwieser
Christian Mauch
Mitja Kleider
Andreas Grübl
David Stöckel
Christian Pehle
Arthur Heimbrecht
Philipp Spilger
Gerd Kiene
V. Karasenko
Walter Senn
Mihai A. Petrovici
Johannes Schemmel
K. Meier

Abstract
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.
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