Artificial neurons with bio-inspired firing patterns have the potential to significantly improve
the performance of neural network computing. The most significant component of an artificial …

Up to now, neural networks have been extensively studied, however, few researches have
been investigated about neural networks via circuits. In this paper, a memristive circuit under …

This chapter provides a general review of memristor device application in designing
hardware deep neural networks such as spiking neural network (SNNs), multilevel neural …

The bio-mimetic structure of a neuron is taken into account for utilizing the
electrophysiological data. These neuron circuits are entertained for the use in digital …

This work presents a behavior-based memristor model for the simulation of novel digital
logic architectures. This model exhibits the nonvolatile hard switching current–voltage …

SPICE models are constructed for memristive devices to form associated biophysical neuron
circuit models such as the Hodgkin–Huxley (HH) type II excitability neuron circuit model, the …

The development of traditional CMOS-based logic circuits in terms of speed and energy
consumption is approaching the limit. Memristor is a kind of bio-inspired hardware with a …