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Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate (1912.12980v2)
Published 30 Dec 2019 in q-bio.NC and cs.NE
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.
- Sebastian Billaudelle (23 papers)
- Yannik Stradmann (14 papers)
- Korbinian Schreiber (8 papers)
- Benjamin Cramer (13 papers)
- Andreas Baumbach (10 papers)
- Dominik Dold (22 papers)
- Julian Göltz (7 papers)
- Akos F. Kungl (6 papers)
- Timo C. Wunderlich (5 papers)
- Andreas Hartel (27 papers)
- Eric Müller (40 papers)
- Oliver Breitwieser (14 papers)
- Christian Mauch (12 papers)
- Mitja Kleider (7 papers)
- Andreas Grübl (19 papers)
- David Stöckel (5 papers)
- Christian Pehle (21 papers)
- Arthur Heimbrecht (3 papers)
- Philipp Spilger (16 papers)
- Gerd Kiene (4 papers)