Reward-based learning under hardware constraints—using a RISC processor embedded in a neuromorphic substrate

In this study, we propose and analyze in simulations a new, highly flexible method of implementing synaptic plasticity in a wafer-scale, accelerated neuromorphic hardware system. The study focuses on globally modulated STDP, as a special use-case of this method. Flexibility is achieved by embedding...

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Detalles Bibliográficos
Autores principales: Friedmann, Simon, Frémaux, Nicolas, Schemmel, Johannes, Gerstner, Wulfram, Meier, Karlheinz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3778319/
https://www.ncbi.nlm.nih.gov/pubmed/24065877
http://dx.doi.org/10.3389/fnins.2013.00160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3778319/
https://www.ncbi.nlm.nih.gov/pubmed/24065877
http://dx.doi.org/10.3389/fnins.2013.00160

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