2013
DOI: 10.1063/1.4795280
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Design of an electronic synapse with spike time dependent plasticity based on resistive memory device

Abstract: Spike timing analysis in neural networks with unsupervised synaptic plasticity AIP Conf. Proc. 1510, 213 (2013); 10.1063/1.4776522Signal detection in networks of spiking neurons with dynamical synapses AIP Conf.This paper presents a design of electronic synapse with Spike Time Dependent Plasticity (STDP) based on resistive memory device. With the resistive memory device whose resistance can be purposely changed, the weight of the synaptic connection between two neurons can be modified. The synapse can work acc… Show more

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Cited by 18 publications
(16 citation statements)
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“…Nowadays, the realization of a single device with synaptic functions has attracted much attention for the implementation of the neuromorphic system. Among them, the electronic synapses based on memristors have been widely focused 4 6 . In 1971, Chua predicted the fourth basic circuit element, namely, memristor 7 .…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, the realization of a single device with synaptic functions has attracted much attention for the implementation of the neuromorphic system. Among them, the electronic synapses based on memristors have been widely focused 4 6 . In 1971, Chua predicted the fourth basic circuit element, namely, memristor 7 .…”
Section: Introductionmentioning
confidence: 99%
“…Based on the design in Ref. 37, we constructed an artificial neural network consisting of three neurons and two synapses to demonstrate the associative learning in Pavlov's dog experiment. 38,39 The electronic system was realized with metal-oxide-semiconductor (MOS) devices and a memristor, as schematically illustrated in Fig.…”
Section: (A) Was Carried Out With Eqs (4)-(6) and Is Shown Inmentioning
confidence: 99%
“…However, they are considered as very important elements in new types of computational systems. In particular, several works on memristive devices were done for the mimicking of synapse properties [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. The activity in this directions are in progress and several important results have been reported.…”
Section: Introductionmentioning
confidence: 98%