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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Detalles Bibliográficos
Autores principales: Neftci, Emre O., Pedroni, Bruno U., Joshi, Siddharth, Al-Shedivat, Maruan, Cauwenberghs, Gert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925698/
https://www.ncbi.nlm.nih.gov/pubmed/27445650
http://dx.doi.org/10.3389/fnins.2016.00241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925698/
https://www.ncbi.nlm.nih.gov/pubmed/27445650
http://dx.doi.org/10.3389/fnins.2016.00241

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