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 …
Firing pattern in a memristive Hodgkin–Huxley circuit: Numerical simulation and analog circuit validation
Q Xu, Y Wang, B Chen, Z Li, N Wang - Chaos, Solitons & Fractals, 2023 - Elsevier
Spiking firing patterns and their hardware implementation can assist us in exploring spike-
based applications. The classical Hodgkin–Huxley circuit can generate spiking firing …
based applications. The classical Hodgkin–Huxley circuit can generate spiking firing …
Memristor initial-offset boosting and its bifurcation mechanism in a memristive FitzHugh-Nagumo neuron model with hidden dynamics
Electromagnetic induction plays a vital role in impacting the neuron dynamics, since the
electromagnetic induction is triggered alongside with the complex interaction of membrane …
electromagnetic induction is triggered alongside with the complex interaction of membrane …
Locally active memristor-based neuromorphic circuit: Firing pattern and hardware experiment
Analog circuit implementation of neuron model is an essential category of neuromorphic
circuit since it can reproduce neuron firing patterns and assist in exploring neuron-based …
circuit since it can reproduce neuron firing patterns and assist in exploring neuron-based …
Heterogeneous coexistence of extremely many attractors in adaptive synapse neuron considering memristive EMI
J Zhang, H Bao, X Yu, B Chen - Chaos, Solitons & Fractals, 2024 - Elsevier
Heterogeneous coexistence of multiple attractors was exhibited by a two-dimensional (2-D)
non-autonomous model of adaptive synapse neuron with external excitation. Considering …
non-autonomous model of adaptive synapse neuron with external excitation. Considering …
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 …
Periodic and chaotic spiking behaviors in a simplified memristive Hodgkin-Huxley circuit
Abstract The famous Hodgkin-Huxley circuit contains two time-varying resistors to describe
the electrophysiological characteristics of sodium and potassium ion channels. But the time …
the electrophysiological characteristics of sodium and potassium ion channels. But the time …
Mixed gray-color images encryption algorithm based on a memristor chaotic system and 2D compression sensing
X An, S Liu, L Xiong, J Zhang, X Li - Expert Systems with Applications, 2024 - Elsevier
Multi-image encryption has attracted great interest in the era of secret communication,
however, the mixed encryption of gray and color images has been reported rarely …
however, the mixed encryption of gray and color images has been reported rarely …
Continuous non-autonomous memristive Rulkov model with extreme multistability
Based on the two-dimensional (2D) discrete Rulkov model that is used to describe neuron
dynamics, this paper presents a continuous non-autonomous memristive Rulkov model. The …
dynamics, this paper presents a continuous non-autonomous memristive Rulkov model. The …