Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate

December 30, 2019 Β· Declared Dead Β· πŸ› International Symposium on Circuits and Systems

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Authors Sebastian Billaudelle, Yannik Stradmann, Korbinian Schreiber, Benjamin Cramer, Andreas Baumbach, Dominik Dold, Julian GΓΆltz, Akos F. Kungl, Timo C. Wunderlich, Andreas Hartel, Eric MΓΌller, Oliver Breitwieser, Christian Mauch, Mitja Kleider, Andreas GrΓΌbl, David StΓΆckel, Christian Pehle, Arthur Heimbrecht, Philipp Spilger, Gerd Kiene, Vitali Karasenko, Walter Senn, Mihai A. Petrovici, Johannes Schemmel, Karlheinz Meier arXiv ID 1912.12980 Category q-bio.NC Cross-listed cs.NE Citations 50 Venue International Symposium on Circuits and Systems Last Checked 5 months ago
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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