Memcapacitive neural networks

Y. V. Pershin; M. Di Ventra

doi:10.1049/el.2013.2463

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arXiv · 1307.6921

Memcapacitive neural networks

Y. V. Pershin·M. Di Ventra

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Abstract

We show that memcapacitive (memory capacitive) systems can be used as synapses in artificial neural networks. As an example of our approach, we discuss the architecture of an integrate-and-fire neural network based on memcapacitive synapses. Moreover, we demonstrate that the spike-timing-dependent plasticity can be simply realized with some of these devices. Memcapacitive synapses are a low-energy alternative to memristive synapses for neuromorphic computation.

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cond-mat.dis-nn cs.ET cs.NE q-bio.NC

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Y. V. Pershin, M. Di Ventra. 2013-07-26. Memcapacitive neural networks. https://doi.org/10.1049/el.2013.2463

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