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 …
[PDF][PDF] A physical view of computational neurodynamics
J Ma, Z Yang, L Yang, J Tang - Journal of Zhejiang University …, 2019 - drive.google.com
The nervous system is made of a large number of neurons. Time-varying balance between
excitatory and inhibitory neurons is important to activate appropriate modes of electrical …
excitatory and inhibitory neurons is important to activate appropriate modes of electrical …
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 …
Regulating memristive neuronal dynamical properties via excitatory or inhibitory magnetic field coupling
The ion exchange in neurons can trigger time-varying magnetic fields. According to the
superposition field principle, each neuron is exposed to the integrated magnetic field …
superposition field principle, each neuron is exposed to the integrated magnetic field …
A new multi-scroll Chua's circuit with composite hyperbolic tangent-cubic nonlinearity: Complex dynamics, Hardware implementation and Image encryption …
F Yu, H Shen, Z Zhang, Y Huang, S Cai, S Du - Integration, 2021 - Elsevier
In this paper, a new method for generating multi-scroll chaotic attractors via constructing a
compound hyperbolic tangent-cubic nonlinear function in canonical Chua's circuit is …
compound hyperbolic tangent-cubic nonlinear function in canonical Chua's circuit is …
Memristor synapse-coupled memristive neuron network: synchronization transition and occurrence of chimera
Memristor synapse can be used to characterize the electromagnetic induction effect
between two neurons that induces an action current by their membrane potential difference …
between two neurons that induces an action current by their membrane potential difference …
Firing mechanism based on single memristive neuron and double memristive coupled neurons
H Shen, F Yu, C Wang, J Sun, S Cai - Nonlinear Dynamics, 2022 - Springer
Memristive neurons and memristive neural networks constructed based on memristors have
important research significance for revealing the mystery of the brain. This paper proposes a …
important research significance for revealing the mystery of the brain. This paper proposes a …
A conservative memristive system with amplitude control and offset boosting
X Zhang, C Li, E Dong, Y Zhao, Z Liu - International Journal of …, 2022 - World Scientific
Based on a variable-boostable chaotic system, a conservative chaotic system with
controllable amplitude and offset is proposed. The system exhibits rich symmetrical …
controllable amplitude and offset is proposed. The system exhibits rich symmetrical …
Memristor initial-boosted coexisting plane bifurcations and its extreme multi-stability reconstitution in two-memristor-based dynamical system
Initial-dependent extreme multi-stability and offset-boosted coexisting attractors have been
significantly concerned recently. This paper constructs a novel five-dimensional (5-D) two …
significantly concerned recently. This paper constructs a novel five-dimensional (5-D) two …
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 …