Autapse plays an important role in regulating the electric activity of neuron by feedbacking time-delayed current on the membrane of neuron. Autapses are considered in a local area of regular network of neurons to investigate the development of spatiotemporal pattern, and emergence of spiral wave is observed while it fails to grow up and occupy the network completely. It is found that spiral wave can be induced to occupy more area in the network under optimized noise on the network with periodical or no-flux boundary condition being used. The developed spiral wave with self-sustained property can regulate the collective behaviors of neurons as a pacemaker. To detect the collective behaviors, a statistical factor of synchronization is calcul...
Spatially uniform cross-correlated sine-Wiener (CCSW) noises are imposed on each Hodgkin-Huxley (HH)...
A modified FitzHugh–Nagumo neuron model with sigmoid function-based recovery variable is considered ...
Biological and artificial spiking neural networks process information by changing their states in re...
<div><p>Autapse plays an important role in regulating the electric activity of neuron by feedbacking...
A regular network of neurons is constructed by using the Morris-Lecar (ML) neuron with the ion chann...
It has been identified that autapse can modulate dynamics of single neurons and spatial patterns of ...
The phase transition of spiral waves in networks of Hodgkin-Huxley neurons impelled by channel noise...
Spiral waves are observed in the chemical, physical and biological systems, and the emergence of spi...
<div><p>Spiral waves are observed in the chemical, physical and biological systems, and the emergenc...
An autapse is an unusual synapse that occurs between the axon and the soma of the same neuron. Mathe...
n this paper, the effects of autapse (a kind of synapse formed between the axon or soma of a neuron ...
Formation and selection of multiarmed spiral wave due to spontaneous symmetry breaking are investiga...
Spiral waves are particular spatiotemporal patterns connected to specific phase singularities repres...
We study the effects of an autapse, which is mathematically described as a self-feedback loop, on th...
Spiral waves are self-repeating waves that can form in excitable media, propagating outward from the...
Spatially uniform cross-correlated sine-Wiener (CCSW) noises are imposed on each Hodgkin-Huxley (HH)...
A modified FitzHugh–Nagumo neuron model with sigmoid function-based recovery variable is considered ...
Biological and artificial spiking neural networks process information by changing their states in re...
<div><p>Autapse plays an important role in regulating the electric activity of neuron by feedbacking...
A regular network of neurons is constructed by using the Morris-Lecar (ML) neuron with the ion chann...
It has been identified that autapse can modulate dynamics of single neurons and spatial patterns of ...
The phase transition of spiral waves in networks of Hodgkin-Huxley neurons impelled by channel noise...
Spiral waves are observed in the chemical, physical and biological systems, and the emergence of spi...
<div><p>Spiral waves are observed in the chemical, physical and biological systems, and the emergenc...
An autapse is an unusual synapse that occurs between the axon and the soma of the same neuron. Mathe...
n this paper, the effects of autapse (a kind of synapse formed between the axon or soma of a neuron ...
Formation and selection of multiarmed spiral wave due to spontaneous symmetry breaking are investiga...
Spiral waves are particular spatiotemporal patterns connected to specific phase singularities repres...
We study the effects of an autapse, which is mathematically described as a self-feedback loop, on th...
Spiral waves are self-repeating waves that can form in excitable media, propagating outward from the...
Spatially uniform cross-correlated sine-Wiener (CCSW) noises are imposed on each Hodgkin-Huxley (HH)...
A modified FitzHugh–Nagumo neuron model with sigmoid function-based recovery variable is considered ...
Biological and artificial spiking neural networks process information by changing their states in re...