Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale Sy...
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
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Author / Creator
Schmitt, Sebastian , Klaehn, Johann , Bellec, Guillaume , Gruebl, Andreas , Guettler, Maurice , Hartel, Andreas , Hartmann, Stephan , Husmann, Dan , Husmann, Kai , Vitali Karasenko , Kleider, Mitja , Koke, Christoph , Mauch, Christian , Mueller, Eric , Mueller, Paul , Partzsch, Johannes , Petrovici, Mihai A , Schiefer, Stefan , Scholze, Stefan , Vogginger, Bernhard , Legenstein, Robert , Maass, Wolfgang , Mayr, Christian , Schemmel, Johannes and Meier, Karlheinz
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Emulating spiking neural networks on analog neuromorphic hardware offers several advantages over simulating them on conventional computers, particularly in terms of speed and energy consumption. However, this usually comes at the cost of reduced control over the dynamics of the emulated networks. In this paper, we demonstrate how iterative training...
Alternative Titles
Full title
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System
Authors, Artists and Contributors
Author / Creator
Klaehn, Johann
Bellec, Guillaume
Gruebl, Andreas
Guettler, Maurice
Hartel, Andreas
Hartmann, Stephan
Husmann, Dan
Husmann, Kai
Vitali Karasenko
Kleider, Mitja
Koke, Christoph
Mauch, Christian
Mueller, Eric
Mueller, Paul
Partzsch, Johannes
Petrovici, Mihai A
Schiefer, Stefan
Scholze, Stefan
Vogginger, Bernhard
Legenstein, Robert
Maass, Wolfgang
Mayr, Christian
Schemmel, Johannes
Meier, Karlheinz
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2076103920
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2076103920
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.1703.01909
