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Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Recent studies have shown that synaptic unreliability is a robust and sufficient mechanism for inducing the stochasticity observed in cortex. Here, we introduce Synaptic Sampling Machines (S2Ms), a class of neural network models that uses synaptic stochasticity as a means to Monte Carlo sampling and...

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Dades bibliogràfiques
Publicat a:Front Neurosci
Autors principals: Neftci, Emre O., Pedroni, Bruno U., Joshi, Siddharth, Al-Shedivat, Maruan, Cauwenberghs, Gert
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2016
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4925698/
https://ncbi.nlm.nih.gov/pubmed/27445650
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2016.00241
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