Biophysical neurons, energy, and synapse controllability: a review

J Ma - Journal of Zhejiang University-Science A, 2023 - Springer
Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that
regulates membrane potential, and energy injection from external stimuli breaks the energy …

Energy function for some maps and nonlinear oscillators

J Ma - Applied Mathematics and Computation, 2024 - Elsevier
Continuous dynamical systems with different nonlinear terms can show rich dynamical
characteristic, which can be presented and verified in nonlinear oscillators. Reliable …

Extreme multistability and phase synchronization in a heterogeneous bi-neuron Rulkov network with memristive electromagnetic induction

Q Xu, T Liu, S Ding, H Bao, Z Li, B Chen - Cognitive Neurodynamics, 2023 - Springer
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 …

Creation of heterogeneity or defects in a memristive neural network under energy flow

F Yang, Y Wang, J Ma - … in Nonlinear Science and Numerical Simulation, 2023 - Elsevier
The field energy in neuron can be changed under shape deformation because of external
energy injection into the media. The electromagnetic field superposition enables energy …

Transcranial direct current stimulation inhibits epileptic activity propagation in a large-scale brain network model

Y Yu, YB Fan, F Han, GM Luan, QY Wang - Science China Technological …, 2023 - Springer
Transcranial direct current stimulation (tDCS) is a noninvasive technique that uses constant,
low-intensity direct current to regulate brain activities. Clinical studies have shown that …

Estimation of the effect of magnetic field on a memristive neuron

F Wu, X Hu, J Ma - Applied Mathematics and Computation, 2022 - Elsevier
A cell's action potential can be induced by rapid pumping and changes in intracellular and
extracellular ions, and a magnetic field is generated to regulate neural activity effectively …

Dynamics of neuron-like excitable Josephson junctions coupled by a metal oxide memristive synapse

F Wu, Z Yao - Nonlinear Dynamics, 2023 - Springer
Transition of firing modes via synapse is a crucial step in neural coding. The
neuron/synapse-like circuits have been proposed to simulate neural behaviors and …

[HTML][HTML] Study on the relationship between ecological spatial network structure and regional carbon use Efficiency: A case study of the Wuding river basin

Y Zeng, X Chen, Z Yang, Q Yu - Ecological Indicators, 2023 - Elsevier
Plant carbon use efficiency (CUE) reflects the carbon assimilation ability and carbon
sequestration potential of organisms, and is an important quantitative index in ecology …

Transfer learning with optimal transportation and frequency mixup for EEG-based motor imagery recognition

P Chen, H Wang, X Sun, H Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Electroencephalography-based Brain Computer Interfaces (BCIs) invariably have a
degenerate performance due to the considerable individual variability. To address this …

Practical synchronization of neural networks with delayed impulses and external disturbance via hybrid control

S Dong, X Liu, S Zhong, K Shi, H Zhu - Neural Networks, 2023 - Elsevier
This paper studies the problem of practical synchronization for delayed neural networks via
hybrid-driven impulsive control in which delayed impulses and external disturbance are …