Stochastic Learning in Oxide Binary Synaptic Device for Neuromorphic Computing

Stochastic Learning in Oxide Binary Synaptic Device for Neuromorphic Computing

Hardware implementation of neuromorphic computing is attractive as a computing paradigm beyond the conventional digital computing. In this work, we show that the SET (off-to-on) transition of metal oxide resistance switching memory becomes probabilistic under a weak programming condition. The switc...

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Bibliographic Details
Main Authors: Shimeng eYu, Bin eGao, Zheng eFang, Hongyu eYu, Jinfeng eKang, H.-S. Philip eWong
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-10-01
Series:Frontiers in Neuroscience
Subjects:
stochastic learning
neuromorphic computing
resistive switching
oxide RRAM
synaptic device
binary synapse
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00186/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00186/full

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