Implementation of a spike-based perceptron learning rule using TiO2-x memristors.
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Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses.Neuromorphic computing with multi-memristive synapses.Memristive-Based Neuromorphic Applications and Associative MemoriesNeural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
P2860
Implementation of a spike-based perceptron learning rule using TiO2-x memristors.
description
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Implementation of a spike-based perceptron learning rule using TiO2-x memristors.
@en
type
label
Implementation of a spike-based perceptron learning rule using TiO2-x memristors.
@en
prefLabel
Implementation of a spike-based perceptron learning rule using TiO2-x memristors.
@en
P2093
P2860
P356
P1476
Implementation of a spike-based perceptron learning rule using TiO2-x memristors.
@en
P2093
Christian G Mayr
Giacomo Indiveri
Hesham Mostafa
P2860
P356
10.3389/FNINS.2015.00357
P577
2015-10-02T00:00:00Z