Accelerated physical emulation of Bayesian inference in spiking neural networks
Accelerated physical emulation of Bayesian inference in spiking neural networks
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Author / Creator
Kungl, Akos F , Schmitt, Sebastian , Klähn, Johann , Müller, Paul , Baumbach, Andreas , Dold, Dominik , Kugele, Alexander , Gürtler, Nico , Leng, Luziwei , Müller, Eric , Koke, Christoph , Kleider, Mitja , Mauch, Christian , Breitwieser, Oliver , Güttler, Maurice , Husmann, Dan , Husmann, Kai , Ilmberger, Joscha , Hartel, Andreas , Vitali Karasenko , Grübl, Andreas , Schemmel, Johannes , Meier, Karlheinz and Petrovici, Mihai A
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
The massively parallel nature of biological information processing plays an important role for its superiority to human-engineered computing devices. In particular, it may hold the key to overcoming the von Neumann bottleneck that limits contemporary computer architectures. Physical-model neuromorphic devices seek to replicate not only this inheren...
Alternative Titles
Full title
Accelerated physical emulation of Bayesian inference in spiking neural networks
Authors, Artists and Contributors
Author / Creator
Schmitt, Sebastian
Klähn, Johann
Müller, Paul
Baumbach, Andreas
Dold, Dominik
Kugele, Alexander
Gürtler, Nico
Leng, Luziwei
Müller, Eric
Koke, Christoph
Kleider, Mitja
Mauch, Christian
Breitwieser, Oliver
Güttler, Maurice
Husmann, Dan
Husmann, Kai
Ilmberger, Joscha
Hartel, Andreas
Vitali Karasenko
Grübl, Andreas
Schemmel, Johannes
Meier, Karlheinz
Petrovici, Mihai A
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2073357001
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2073357001
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.1807.02389