Memristor initial-offset boosting in memristive HR neuron model with hidden firing patterns
A new three-dimensional (3D) memristive HR neuron model is presented, which is improved
from an existing memristive HR neuron model using a memristor synapse with sine …
from an existing memristive HR neuron model using a memristor synapse with sine …
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 …
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 novel 3D chaotic system with line equilibrium: multistability, integral sliding mode control, electronic circuit, FPGA implementation and its image encryption
This paper announces a novel three-dimensional chaotic system with line equilibrium and
discusses its dynamic properties such as Lyapunov exponents, phase portraits, equilibrium …
discusses its dynamic properties such as Lyapunov exponents, phase portraits, equilibrium …
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 …
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 …
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 …
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 …
Energy balance and synchronization via inductive-coupling in functional neural circuits
Y Xie, P Zhou, J Ma - Applied Mathematical Modelling, 2023 - Elsevier
A reliable functional neural circuit can estimate the information encoding and signal
exchange between neurons, and thus the recognition of electric activities in biological …
exchange between neurons, and thus the recognition of electric activities in biological …
Energy flow accounts for the adaptive property of functional synapses
FQ Wu, YT Guo, J Ma - Science China Technological Sciences, 2023 - Springer
In the presence of external stimuli and electromagnetic radiation (EMR), biological neurons
can exhibit different firing patterns and switch to appropriate firing modes because of …
can exhibit different firing patterns and switch to appropriate firing modes because of …