Coherence resonance of the spiking regularity in a neuron under electromagnetic radiation
- Resource Type
- Authors
- Shaojuan Ma; Juan Wu
- Source
- Nonlinear Dynamics. 96:1895-1908
- Subject
- Physics
Forcing (recursion theory)
Quantitative Biology::Neurons and Cognition
Applied Mathematics
Mechanical Engineering
Aerospace Engineering
Inverse
Ocean Engineering
01 natural sciences
Electromagnetic radiation
symbols.namesake
medicine.anatomical_structure
Control and Systems Engineering
Gaussian noise
Coherence resonance
0103 physical sciences
symbols
medicine
Coherence (signal processing)
Neuron
Electrical and Electronic Engineering
Biological system
010301 acoustics
Stationary probability distribution
- Language
- ISSN
- 1573-269X
0924-090X
The electrical activities are investigated in an improved Hindmarsh–Rose (HR) model with the external electromagnetic radiation of Gaussian noise. The mode transitions of the electrical activities induced by Gaussian noise are presented, such as from the rest states to the spiking states and from the spiking states to the spiking states with more or less spikes. Then, the stationary probability distribution functions of the membrane potential of the neuronal spiking are studied to explore the effect of Gaussian noise on the strength of the spiking of the neuron for the different modes of the electrical activities. In addition, the coherence of the spiking regularity of the electrical activities is investigated. The two-dimensional and three-dimensional inverse of the normalized coefficient of the variation of the spiking regularity in the improved HR with external electromagnetic radiation as Gaussian noise and external forcing current are analyzed. Then, the coherence resonance phenomenon induced by the Gaussian noise and external forcing current is discussed under three different modes of the electrical activities. The excitable effect of Gaussian noise and external forcing current on the spiking regularity of the electrical activities is explored. It is found that Gaussian noise can induce the mode transitions of the different electrical activities of the HR neuron and improve the strength of the spiking of the neuron. Gaussian noise and external forcing current can both optimally promote the spiking regularity of the different electrical activities of the neuron.