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Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

An ongoing challenge in neuromorphic computing is to devise general and computationally efficient models of inference and learning which are compatible with the spatial and temporal constraints of the brain. One increasingly popular and successful approach is to take inspiration from inference and l...

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Bibliografski detalji
Izdano u:Front Neurosci
Glavni autori: Neftci, Emre O., Augustine, Charles, Paul, Somnath, Detorakis, Georgios
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2017
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5478701/
https://ncbi.nlm.nih.gov/pubmed/28680387
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2017.00324
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