A locally active discrete memristor model and its application in a hyperchaotic map
The continuous memristor is a popular topic of research in recent years, however, there is
rare discussion about the discrete memristor model, especially the locally active discrete …
rare discussion about the discrete memristor model, especially the locally active discrete …
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 …
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 …
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 …
A discrete memristor model and its application in Hénon map
The realization of real memristor makes it be a very popular topic in recent years. However,
the topic about discrete memristor model is rarely discussed. In this paper, a discrete …
the topic about discrete memristor model is rarely discussed. In this paper, a discrete …
Memristor synapse-coupled memristive neuron network: synchronization transition and occurrence of chimera
Memristor synapse can be used to characterize the electromagnetic induction effect
between two neurons that induces an action current by their membrane potential difference …
between two neurons that induces an action current by their membrane potential difference …
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 …
Synchronization between neurons coupled by memristor
Synapse plays an important role in signal exchange and information encoding between
neurons. Electric and chemical synapses are often used to investigate the synchronization in …
neurons. Electric and chemical synapses are often used to investigate the synchronization in …
Continuous non-autonomous memristive Rulkov model with extreme multistability
Based on the two-dimensional (2D) discrete Rulkov model that is used to describe neuron
dynamics, this paper presents a continuous non-autonomous memristive Rulkov model. The …
dynamics, this paper presents a continuous non-autonomous memristive Rulkov model. The …