Nature Communications (Dec 2018)

Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits

  • M. Prezioso,
  • M. R. Mahmoodi,
  • F. Merrikh Bayat,
  • H. Nili,
  • H. Kim,
  • A. Vincent,
  • D. B. Strukov

DOI
https://doi.org/10.1038/s41467-018-07757-y
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 8

Abstract

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Hardware implementation of spiking neural networks holds promise for high energy efficient brain-inspired computing. Here, Prezioso et al. realize the detection of synchrony in a demo circuit composed of 20 metal-oxide memristor synapses connected to a leaky-integrate-and-fire silicon neuron.