Review on chaotic dynamics of memristive neuron and neural network
The study of dynamics on artificial neurons and neuronal networks is of great significance to
understand brain functions and develop neuromorphic systems. Recently, memristive …
understand brain functions and develop neuromorphic systems. Recently, memristive …
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 …
regulates membrane potential, and energy injection from external stimuli breaks the energy …
Memristive Rulkov neuron model with magnetic induction effects
The magnetic induction effects have been emulated by various continuous memristive
models but they have not been successfully described by a discrete memristive model yet …
models but they have not been successfully described by a discrete memristive model yet …
A review of chaotic systems based on memristive Hopfield neural networks
Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
Hidden bursting firings and bifurcation mechanisms in memristive neuron model with threshold electromagnetic induction
Memristors can be employed to mimic biological neural synapses or to describe
electromagnetic induction effects. To exhibit the threshold effect of electromagnetic …
electromagnetic induction effects. To exhibit the threshold effect of electromagnetic …
A review for dynamics in neuron and neuronal network
J Ma, J Tang - Nonlinear Dynamics, 2017 - Springer
Abstract The biological Hodgkin–Huxley model and its simplified versions have confirmed its
effectiveness for recognizing and understanding the electrical activities in neurons, and …
effectiveness for recognizing and understanding the electrical activities in neurons, and …
Reproduce the biophysical function of chemical synapse by using a memristive synapse
F Wu, Y Guo, J Ma - Nonlinear Dynamics, 2022 - Springer
Dynamical modeling of nervous systems is of fundamental importance in many scientific
fields containing the topics relative to computational neuroscience and biophysics. Many …
fields containing the topics relative to computational neuroscience and biophysics. Many …
Electromagnetic induction effects on electrical activity within a memristive Wilson neuron model
Neurons can exhibit abundant electrical activities due to physical effects of various
electrophysiology environments. The electromagnetic induction flows can be triggered by …
electrophysiology environments. The electromagnetic induction flows can be triggered by …
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 …