Memcapacitive neural networks

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.

• Publication year

  2013

• Venue

  arXiv.org

• Publication date

  2013-07-25

• Fields of study

  Biology, Physics, Computer Science, Engineering

• Identifiers
  DOI 10.1049/el.2013.2463arXiv 1307.6921
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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