Event-driven contrastive divergence for spiking neuromorphic systems

Restricted Boltzmann Machines (RBMs) and Deep Belief Networks have been demonstrated to perform efficiently in a variety of applications, such as dimensionality reduction, feature learning, and classification. Their implementation on neuromorphic hardware platforms emulating large-scale networks of...

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Detalles Bibliográficos
Autores principales: Neftci, Emre, Das, Srinjoy, Pedroni, Bruno, Kreutz-Delgado, Kenneth, Cauwenberghs, Gert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922083/
https://www.ncbi.nlm.nih.gov/pubmed/24574952
http://dx.doi.org/10.3389/fnins.2013.00272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3922083/
https://www.ncbi.nlm.nih.gov/pubmed/24574952
http://dx.doi.org/10.3389/fnins.2013.00272

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