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 …
Synchronous behaviors of three coupled liquid crystal elastomer-based spring oscillators under linear temperature fields
H Wu, B Zhang, K Li - Physical Review E, 2024 - APS
Self-oscillating coupled systems possess the ability to actively absorb external
environmental energy to sustain their motion. This quality endows them with autonomy and …
environmental energy to sustain their motion. This quality endows them with autonomy and …
Fixed/prescribed-time synchronization of BAM memristive neural networks with time-varying delays via convex analysis
The synchronization problem of bidirectional associative memory memristive neural
networks (BAMMNNs) with time-varying delays plays an essential role in the implementation …
networks (BAMMNNs) with time-varying delays plays an essential role in the implementation …
A time-varying fuzzy parameter zeroing neural network for the synchronization of chaotic systems
J Jin, W Chen, A Ouyang, F Yu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Zeroing neural network (ZNN) has been applied to various time-varying problems solving,
and numerous ZNN models have been developed in recent years, such as power-type …
and numerous ZNN models have been developed in recent years, such as power-type …
A bimembrane neuron for computational neuroscience
A biological neuron has endomembrane and extracellular membrane, and its capacitive
effect can be described in an equiavlent neural circuit composed of two capacitors. In this …
effect can be described in an equiavlent neural circuit composed of two capacitors. In this …
Saturation function-based continuous control on fixed-time synchronization of competitive neural networks
Currently, through proposing discontinuous control strategies with the signum function and
discussing separately short-term memory (STM) and long-term memory (LTM) of competitive …
discussing separately short-term memory (STM) and long-term memory (LTM) of competitive …
Synchronization and energy balance of star network composed of photosensitive neurons
The information processing and encoding of nervous system requires complete
collaboration of a large number of neurons in different functional regions of the brain, and …
collaboration of a large number of neurons in different functional regions of the brain, and …
An advanced approach for the electrical responses of discrete fractional-order biophysical neural network models and their dynamical responses
YM Chu, T Alzahrani, S Rashid, W Rashidah… - Scientific Reports, 2023 - nature.com
The multiple activities of neurons frequently generate several spiking-bursting variations
observed within the neurological mechanism. We show that a discrete fractional-order …
observed within the neurological mechanism. We show that a discrete fractional-order …
Adaptive pinning cluster synchronization of a stochastic reaction–diffusion complex network
B Lu, H Jiang, C Hu, A Abdurahman, M Liu - Neural Networks, 2023 - Elsevier
This work aims to achieve cluster synchronization of a complex network by some pinning
control strategies. Firstly, the network not only is affected by the reaction–diffusion and the …
control strategies. Firstly, the network not only is affected by the reaction–diffusion and the …
Synchronization of coupled memristive Hindmarsh–Rose maps under different coupling conditions
S Wang, Z Wei - AEU-International Journal of Electronics and …, 2023 - Elsevier
The importance of the synchronization emergence in neuronal networks has motivated
many researchers to study this phenomenon. However, dealing with the systems in the …
many researchers to study this phenomenon. However, dealing with the systems in the …