Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks
Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks
About this item
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Author / Creator
Kungl, Akos F. , Schmitt, Sebastian , Klähn, Johann , Müller, Paul , Baumbach, Andreas , Dold, Dominik , Kugele, Alexander , Müller, Eric , Koke, Christoph , Kleider, Mitja , Mauch, Christian , Breitwieser, Oliver , Leng, Luziwei , Gürtler, Nico , Güttler, Maurice , Husmann, Dan , Husmann, Kai , Hartel, Andreas , Karasenko, Vitali , Grübl, Andreas , Schemmel, Johannes , Meier, Karlheinz and Petrovici, Mihai A.
Publisher
Switzerland: Frontiers Research Foundation
Journal title
Language
English
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Publication information
Publisher
Switzerland: Frontiers Research Foundation
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Scope and Contents
Contents
The massively parallel nature of biological information processing plays an important role due to its superiority in comparison 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...
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
Müller, Eric
Koke, Christoph
Kleider, Mitja
Mauch, Christian
Breitwieser, Oliver
Leng, Luziwei
Gürtler, Nico
Güttler, Maurice
Husmann, Dan
Husmann, Kai
Hartel, Andreas
Karasenko, Vitali
Grübl, Andreas
Schemmel, Johannes
Meier, Karlheinz
Petrovici, Mihai A.
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_02f287aab1c848de9460f647e80dcfb9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_02f287aab1c848de9460f647e80dcfb9
Other Identifiers
ISSN
1662-453X,1662-4548
E-ISSN
1662-453X
DOI
10.3389/fnins.2019.01201
