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

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

Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits, Published online: 14 December 2018; doi:10.1038/s41467-018-07757-y

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.

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