Review on chaotic dynamics of memristive neuron and neural network
The study of dynamics on artificial neurons and neuronal networks is of great significance to
understand brain functions and develop neuromorphic systems. Recently, memristive …
understand brain functions and develop neuromorphic systems. Recently, memristive …
Perspective: A review on memristive hardware for neuromorphic computation
C Sung, H Hwang, IK Yoo - Journal of Applied Physics, 2018 - pubs.aip.org
Neuromorphic computation is one of the axes of parallel distributed processing, and
memristor-based synaptic weight is considered as a key component of this type of …
memristor-based synaptic weight is considered as a key component of this type of …
Generating grid multi-scroll attractors in memristive neural networks
Q Lai, Z Wan, PDK Kuate - … on Circuits and Systems I: Regular …, 2022 - ieeexplore.ieee.org
Memristors are well suited as artificial nerve synapses owing to its unique memory function.
This paper establishes a novel flux-controlled memristor model using hyperbolic function …
This paper establishes a novel flux-controlled memristor model using hyperbolic function …
Hidden bursting firings and bifurcation mechanisms in memristive neuron model with threshold electromagnetic induction
Memristors can be employed to mimic biological neural synapses or to describe
electromagnetic induction effects. To exhibit the threshold effect of electromagnetic …
electromagnetic induction effects. To exhibit the threshold effect of electromagnetic …
Coexisting firing patterns and phase synchronization in locally active memristor coupled neurons with HR and FN models
Z Li, H Zhou, M Wang, M Ma - Nonlinear Dynamics, 2021 - Springer
Local activity is regarded as the origin of complexity. In this study, a locally active memristor
with coexisting two stable pinched hysteresis loops and two local activity regions is …
with coexisting two stable pinched hysteresis loops and two local activity regions is …
Firing multistability in a locally active memristive neuron model
The theoretical, numerical and experimental demonstrations of firing dynamics in isolated
neuron are of great significance for the understanding of neural function in human brain. In …
neuron are of great significance for the understanding of neural function in human brain. In …
Coexisting multi-stable patterns in memristor synapse-coupled Hopfield neural network with two neurons
When possessing a potential difference between two neurons, an electromagnetic induction
current appears in the Hopfield neural network (HNN), which can be emulated by a flux …
current appears in the Hopfield neural network (HNN), which can be emulated by a flux …
A novel no-equilibrium HR neuron model with hidden homogeneous extreme multistability
In this paper, a novel no-equilibrium Hindmarsh-Rose (HR) neuron model with memristive
electromagnetic induction is proposed. This memristive HR neuron model exhibits complex …
electromagnetic induction is proposed. This memristive HR neuron model exhibits complex …
Creation of heterogeneity or defects in a memristive neural network under energy flow
The field energy in neuron can be changed under shape deformation because of external
energy injection into the media. The electromagnetic field superposition enables energy …
energy injection into the media. The electromagnetic field superposition enables energy …
Multi-scroll hidden attractor in memristive HR neuron model under electromagnetic radiation and its applications
This paper aims to propose a novel no-equilibrium Hindmarsh–Rose (HR) neuron model
with memristive electromagnetic radiation effect. Compared with other memristor-based HR …
with memristive electromagnetic radiation effect. Compared with other memristor-based HR …