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Extending BrainScaleS OS for BrainScaleS-2

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arxiv 2003.13750 v1 pith:CDDXU2YR submitted 2020-03-30 cs.NE

Eric Müller , Christian Mauch , Philipp Spilger , Oliver Julien Breitwieser , Johann Klähn , David Stöckel , Timo Wunderlich , Johannes Schemmel This is my paper
classification cs.NE
keywords brainscalesbrainscales-2systemacceleratedaccompaniedanalogapplicationarchitecture
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BrainScaleS-2 is a mixed-signal accelerated neuromorphic system targeted for research in the fields of computational neuroscience and beyond-von-Neumann computing. To augment its flexibility, the analog neural network core is accompanied by an embedded SIMD microprocessor. The BrainScaleS Operating System (BrainScaleS OS) is a software stack designed for the user-friendly operation of the BrainScaleS architectures. We present and walk through the software-architectural enhancements that were introduced for the BrainScaleS-2 architecture. Finally, using a second-version BrainScaleS-2 prototype we demonstrate its application in an example experiment based on spike-based expectation maximization.

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    q-bio.NC 2025-03 unverdicted novelty 6.0 of 10

    SAL is a spike-timing-based local learning rule that aligns feedback weights to forward weights in spiking networks by exploiting noise and Hebbian/anti-Hebbian plasticity to recover the true gradient.

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