A Memristor Model with Concise Window Function for Spiking Brain-Inspired Computation

2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)(2021)

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摘要
This paper proposes a concise window function to build a memristor model, simulating the widely-observed nonlinear dopant drift phenomenon of the memristor. Exploiting the non-linearity, the memristor model is applied to the in-situ neuromorphic solution for a cortex-inspired spiking neural network (SNN), spike-based Bayesian Confidence Propagation Neural Network (BCPNN). The improved memristor mo...
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关键词
Memristor,window function,non-linear dopant drift,spiking neural network (SNN),Bayesian confidence propagation neural network (BCPNN)
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