Characterization and Compensation of Network-Level Anomalies in Mixed-Signal Neuromorphic Modeling Platforms

Advancing the size and complexity of neural network models leads to an ever increasing demand for computational resources for their simulation. Neuromorphic devices offer a number of advantages over conventional computing architectures, such as high emulation speed or low power consumption, but this...

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Detalles Bibliográficos
Autores principales: Petrovici, Mihai A., Vogginger, Bernhard, Müller, Paul, Breitwieser, Oliver, Lundqvist, Mikael, Muller, Lyle, Ehrlich, Matthias, Destexhe, Alain, Lansner, Anders, Schüffny, René, Schemmel, Johannes, Meier, Karlheinz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4193761/
https://www.ncbi.nlm.nih.gov/pubmed/25303102
http://dx.doi.org/10.1371/journal.pone.0108590

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4193761/
https://www.ncbi.nlm.nih.gov/pubmed/25303102
http://dx.doi.org/10.1371/journal.pone.0108590

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