Nature Communications (Dec 2018)
Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
Abstract
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.