Spike-timing-dependent plasticity learning of coincidence detection with passively integrated memristive circuits
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.
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-07757-y |