A self-resetting spiking phase-change neuron

Nanotechnology
R A CobleyC David Wright

Abstract

Neuromorphic, or brain-inspired, computing applications of phase-change devices have to date concentrated primarily on the implementation of phase-change synapses. However, the so-called accumulation mode of operation inherent in phase-change materials and devices can also be used to mimic the integrative properties of a biological neuron. Here we demonstrate, using physical modelling of nanoscale devices and SPICE modelling of associated circuits, that a single phase-change memory cell integrated into a comparator type circuit can deliver a basic hardware mimic of an integrate-and-fire spiking neuron with self-resetting capabilities. Such phase-change neurons, in combination with phase-change synapses, can potentially open a new route for the realisation of all-phase-change neuromorphic computing.

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Citations

Nov 16, 2018·Nanoscale·Halid MulaosmanovicStefan Slesazeck
Nov 10, 2020·Advanced Materials·Jia-Qin YangSu-Ting Han
Aug 24, 2021·Frontiers in Neuroscience·Zong-Xiao LiFei Zhuge

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