Engineering Spiking Neurons Using Threshold Switching Devices for High-Efficient Neuromorphic Computing.

ABSTRACT: Inspired by the human brain, the spike-based neuromorphic system has attracted strong research enthusiasm because of the high energy efficiency and powerful computational capability, in which the spiking neurons and plastic synapses are two fundamental building blocks. Recently, two-terminal threshold switching (TS) devices have been regarded as promising candidates for building spiking neurons in hardware. However, how circuit parameters affect the spiking behavior of TS-based neurons is still an open question. Here, based on a leaky integrate-and-fire (LIF) neuron circuit, we systematically study the effect of both the extrinsic and intrinsic factors of NbO _x -based TS neurons on their spiking behaviors. The extrinsic influence factors contain input intensities, connect

SUBMITTER: Ding Y 

PROVIDER: S-EPMC8766734 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature