Emergence of hidden dynamics in different neuronal network architecture with injected electromagnetic induction

RK Upadhyay, SK Sharma, A Mondal… - Applied Mathematical …, 2022 - Elsevier
The diverse firing responses in a single neuron model as well as in a neuronal network play
a major role in understanding the collective neuronal dynamics. In this paper, we consider …

Ionic channel blockage in stochastic Hodgkin–Huxley neuronal model driven by multiple oscillatory signals

X Zhou, Y Xu, G Wang, Y Jia - Cognitive Neurodynamics, 2020 - Springer
Ionic channel blockage and multiple oscillatory signals play an important role in the
dynamical response of pulse sequences. The effects of ionic channel blockage and ionic …

Capacitor coupling induces synchronization between neural circuits

Z Liu, C Wang, W Jin, J Ma - Nonlinear Dynamics, 2019 - Springer
The signal propagation and information encoding in neurons are much dependent on the
activation of synapses function. Electric synapse often plays short-range modulation so that …

Synchronization and spatial patterns in a light-dependent neural network

Y Liu, Y Xu, J Ma - Communications in Nonlinear Science and Numerical …, 2020 - Elsevier
Nonlinear oscillators and networks can be synchronized by channel coupling for signal
exchange, while non-coupling synchronization between chaotic oscillators can be obtained …

Mode transition and energy dependence of FitzHugh-Nagumo neural model driven by high-low frequency electromagnetic radiation

G Wang, Y Xu, M Ge, L Lu, Y Jia - AEU-International Journal of Electronics …, 2020 - Elsevier
Abstract The FitzHugh-Nagumo (FHN) neural model is widely used to study the dynamic
characteristics of signal propagation, synchronization, stochastic resonance (SR), coherent …

Control of firing activities in thermosensitive neuron by activating excitatory autapse

Y Xu, J Ma - Chinese Physics B, 2021 - iopscience.iop.org
Temperature has distinct influence on the activation of ion channels and the excitability of
neurons, and careful change in temperature can induce possible mode transition in the …

Collective dynamics of neuronal network under synapse and field coupling

Q Zhou, DQ Wei - Nonlinear Dynamics, 2021 - Springer
Electrical and chemical synapses are essential for signal exchange between neurons. The
continuous exchange of ion concentration in cells will induce complex time-varying …

Propagation characteristics of weak signal in feedforward Izhikevich neural networks

M Ge, Y Jia, L Lu, Y Xu, H Wang, Y Zhao - Nonlinear Dynamics, 2020 - Springer
The feedforward neural network is widely applied in various machine learning architectures,
in which the synaptic weight between layers plays an important role in the weak signal …

Synchronization between neural circuits connected by hybrid synapse

Z Liu, C Wang, G Zhang, Y Zhang - International Journal of Modern …, 2019 - World Scientific
Reliable neural circuits provide feasible ways to estimate the information encoding and
signal exchange between neurons so that more physical effects can be considered and …

Dynamic expression of a HR neuron model under an electric field

S Qiao, XL An - International Journal of Modern Physics B, 2021 - World Scientific
The movement of large amounts of ions (eg, potassium, sodium and calcium) in the nervous
system triggers time-varying electromagnetic fields that further regulate the firing activity of …