Dynamics analysis and hardware implementation of multi-scroll hyperchaotic hidden attractors based on locally active memristive Hopfield neural network
It is believed that local activation is the origin of all complexities, and the locally active
memristive synaptic neural network can generate complex chaotic dynamic behaviors, such …
memristive synaptic neural network can generate complex chaotic dynamic behaviors, such …
Hidden extreme multistability with hyperchaos and transient chaos in a Hopfield neural network affected by electromagnetic radiation
Biological nervous system function is closely related to its dynamical behaviors, and some
dynamical phenomena observed in biological systems can be detected in the simplified …
dynamical phenomena observed in biological systems can be detected in the simplified …
A novel no-equilibrium HR neuron model with hidden homogeneous extreme multistability
In this paper, a novel no-equilibrium Hindmarsh-Rose (HR) neuron model with memristive
electromagnetic induction is proposed. This memristive HR neuron model exhibits complex …
electromagnetic induction is proposed. This memristive HR neuron model exhibits complex …
Coexisting behaviors of asymmetric attractors in hyperbolic-type memristor based Hopfield neural network
A new hyperbolic-type memristor emulator is presented and its frequency-dependent
pinched hysteresis loops are analyzed by numerical simulations and confirmed by hardware …
pinched hysteresis loops are analyzed by numerical simulations and confirmed by hardware …
Influences of electromagnetic radiation distribution on chaotic dynamics of a neural network
Electromagnetic radiation has an effect on the functional behavior of nervous system, and
appropriate electromagnetic radiation is helpful to treat some neurological diseases. In this …
appropriate electromagnetic radiation is helpful to treat some neurological diseases. In this …
Multistable dynamics in a Hopfield neural network under electromagnetic radiation and dual bias currents
Q Wan, Z Yan, F Li, J Liu, S Chen - Nonlinear Dynamics, 2022 - Springer
This paper investigates a Hopfield neural network under the simulation of external
electromagnetic radiation and dual bias currents, in which the fluctuation of magnetic flux …
electromagnetic radiation and dual bias currents, in which the fluctuation of magnetic flux …
Complex dynamics of a 4D Hopfield neural networks (HNNs) with a nonlinear synaptic weight: Coexistence of multiple attractors and remerging Feigenbaum trees
ZT Njitacke, J Kengne - AEU-International Journal of Electronics and …, 2018 - Elsevier
This contribution investigates the nonlinear dynamics of a model of a 4D Hopfield neural
networks (HNNs) with a nonlinear synaptic weight. The investigations show that the …
networks (HNNs) with a nonlinear synaptic weight. The investigations show that the …
Coexistence of multiple stable states and bursting oscillations in a 4D Hopfield neural network
Z Tabekoueng Njitacke, J Kengne… - Circuits, Systems, and …, 2020 - Springer
Neurons are regarded as basic, structural and functional units of the central nervous system.
They play an active role in the collection, storing and transferring of the information during …
They play an active role in the collection, storing and transferring of the information during …
Extremely rich dynamics from hyperchaotic Hopfield neural network: Hysteretic dynamics, parallel bifurcation branches, coexistence of multiple stable states and its …
ZT Njitacke, SD Isaac, J Kengne, AN Negou… - The European Physical …, 2020 - Springer
In this work, we investigate the dynamics of a model of 4-neurons based hyperchaotic
Hopfield neural network (HHNN) with a unique unstable node as a fixed point. The basic …
Hopfield neural network (HHNN) with a unique unstable node as a fixed point. The basic …
Finite‐time stabilization of complex dynamical networks via optimal control
An optimal control scheme is proposed to stabilize complex networks in finite time.
Furthermore, since it is costly and impractical to control a network by applying controllers to …
Furthermore, since it is costly and impractical to control a network by applying controllers to …