Stochastic learning in oxide binary synaptic device for neuromorphic computing.
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Plasticity in memristive devices for spiking neural networksAnalog Memristive Synapse in Spiking Networks Implementing Unsupervised LearningStochastic Synapses Enable Efficient Brain-Inspired Learning Machines.Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses.RRAM-based parallel computing architecture using k-nearest neighbor classification for pattern recognition.Flexible Ionic-Electronic Hybrid Oxide Synaptic TFTs with Programmable Dynamic Plasticity for Brain-Inspired Neuromorphic Computing.A compound memristive synapse model for statistical learning through STDP in spiking neural networksBrain-like associative learning using a nanoscale non-volatile phase change synaptic device arrayA novel artificial synapse with dual modes using bilayer graphene as the bottom electrode.Neuromorphic computing using non-volatile memoryEmergence of winner-takes-all connectivity paths in random nanowire networks
P2860
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P2860
Stochastic learning in oxide binary synaptic device for neuromorphic computing.
description
2013 nî lūn-bûn
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2013年の論文
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2013年論文
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2013年論文
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name
Stochastic learning in oxide binary synaptic device for neuromorphic computing.
@en
type
label
Stochastic learning in oxide binary synaptic device for neuromorphic computing.
@en
prefLabel
Stochastic learning in oxide binary synaptic device for neuromorphic computing.
@en
P2093
P2860
P356
P1476
Stochastic learning in oxide binary synaptic device for neuromorphic computing.
@en
P2093
H-S Philip Wong
Jinfeng Kang
Shimeng Yu
Zheng Fang
P2860
P356
10.3389/FNINS.2013.00186
P577
2013-10-31T00:00:00Z