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 …
Memristive synapses and neurons for bioinspired computing
To realize highly efficient neuromorphic computing that is comparable to biological
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …
counterparts, bioinspired computing systems, consisting of biorealistic artificial synapses …
Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction
Memristive electromagnetic induction effect has been widely explored in bi-neuron network
with homogeneous neurons, but rarely in bi-neuron network with heterogeneous ones. This …
with homogeneous neurons, but rarely in bi-neuron network with heterogeneous ones. This …
Energy balance via memristor synapse in Morris-Lecar two-neuron network with FPGA implementation
Synapses can regulate the energy balance in the neural network. In this work, a two-neuron
network is established by coupling two Morris-Lecar neurons using a memristor synapse …
network is established by coupling two Morris-Lecar neurons using a memristor synapse …
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 …
Electromagnetic induction effects on electrical activity within a memristive Wilson neuron model
Neurons can exhibit abundant electrical activities due to physical effects of various
electrophysiology environments. The electromagnetic induction flows can be triggered by …
electrophysiology environments. The electromagnetic induction flows can be triggered by …
A new class of Hopfield neural network with double memristive synapses and its DSP implementation
T Ma, J Mou, H Yan, Y Cao - The European Physical Journal Plus, 2022 - Springer
The nonlinear characteristics are studied in a new 4D Hopfield neural network model with
two nonlinear synaptic weights in this paper. The synaptic function is modeled by …
two nonlinear synaptic weights in this paper. The synaptic function is modeled by …
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 …
Memristive electromagnetic induction effects on Hopfield neural network
Due to the existence of membrane potential differences, the electromagnetic induction flows
can be induced in the interconnected neurons of Hopfield neural network (HNN). To express …
can be induced in the interconnected neurons of Hopfield neural network (HNN). To express …
Modeling of memristor-based Hindmarsh-Rose neuron and its dynamical analyses using energy method
L Xu, G Qi, J Ma - Applied Mathematical Modelling, 2022 - Elsevier
It has been extensively studied to employ memristors to model the relationship between the
electromagnetic field and the membrane potential, especially for the research of modeling …
electromagnetic field and the membrane potential, especially for the research of modeling …