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A review of chaotic systems based on memristive Hopfield neural networks
Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
Lower-dimensional simple chaotic systems with spectacular features
Lower-dimensional chaotic systems are easily implementable and cost-effective, therefore,
more desirable for practical considerations. Not only can such systems preserve basic …
more desirable for practical considerations. Not only can such systems preserve basic …
Offset-control plane coexisting behaviors in two-memristor-based Hopfield neural network
Memristor synapse with activated synaptic plasticity can be taken as an adaptive connection
synaptic weight. To demonstrate its kinetic effects, in this article, we present an improved …
synaptic weight. To demonstrate its kinetic effects, in this article, we present an improved …
Memristive Rulkov neuron model with magnetic induction effects
The magnetic induction effects have been emulated by various continuous memristive
models but they have not been successfully described by a discrete memristive model yet …
models but they have not been successfully described by a discrete memristive model yet …
Discrete memristor hyperchaotic maps
Regarding as a basic circuit component with special nonlinearity, memristor has been
widely applied in chaotic circuits and neuromorphic circuits. However, discrete memristor …
widely applied in chaotic circuits and neuromorphic circuits. However, discrete memristor …
A family of memristive multibutterfly chaotic systems with multidirectional initial-based offset boosting
Memristors are commonly used to construct memristive chaotic systems with complex
dynamics because of their strong nonlinearity and unique memory effects. In this paper, a …
dynamics because of their strong nonlinearity and unique memory effects. In this paper, a …
Two-dimensional memristive hyperchaotic maps and application in secure communication
Continuous memristor has been widely used in chaotic oscillating circuits and neuromorphic
computing systems. However, discrete memristor and its coupling discrete map have not …
computing systems. However, discrete memristor and its coupling discrete map have not …
A multi-stable memristor and its application in a neural network
Nowadays, there is a lot of study on memristor-based systems with multistability. However,
there is no study on memristor with multistability. This brief constructs a mathematical …
there is no study on memristor with multistability. This brief constructs a mathematical …
Synchronization transitions in a discrete memristor-coupled bi-neuron model
When synaptic connection is created to couple two neurons, the electromagnetic induction
current is unavoidably induced, which can be imitated by a flux-controlled memristor. To …
current is unavoidably induced, which can be imitated by a flux-controlled memristor. To …
Memristor-based hyperchaotic maps and application in auxiliary classifier generative adversarial nets
With the nonlinearity and plasticity, memristors are widely used as nonlinear devices for
chaotic oscillations or as biological synapses for neuromorphic computations. But discrete …
chaotic oscillations or as biological synapses for neuromorphic computations. But discrete …