Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks

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...

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Detalles Bibliográficos
Autores principales: 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, Petrovici, Mihai A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868054/
https://www.ncbi.nlm.nih.gov/pubmed/31798400
http://dx.doi.org/10.3389/fnins.2019.01201

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868054/
https://www.ncbi.nlm.nih.gov/pubmed/31798400
http://dx.doi.org/10.3389/fnins.2019.01201

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