NDLI: Synchrony of Two Uncoupled Neurons under the Chaos Signal Stimulation

Content Provider	IEEE Xplore Digital Library
Author	Yueping Peng Jue Wang
Copyright Year	2010
Abstract	The two uncoupled Hindmarsh-Rose neurons under different initial conditions is stimulated by the chaos signal; and the synchronization characteristics of the two uncoupled neurons is discussed by analyzing their membrane potentials and their interspike interval (ISI) distribution. Under the stimulation of the chaos signal, the two uncoupled neurons under different initial conditions, whose parameter r (The parameter r is related to the membrane penetration of calcium ion, and reflects the changing speed of the slow adaptation current) is different or the same, can realize the full synchronization (state synchronization) or discharge synchronization (phase synchronization), and can only be synchronized to the discharge pattern of the stimulation neuron. The synchronization characteristics are mainly related to the discharge pattern and the strength of the stimulation neuron’s membrane potential, and are little related to the parameter r and the initial state of the two uncoupled neurons. This investigation shows the characteristics of the neuron’s membrane potential affecting the synchronization process of neurons, and the neurons’ discharge patterns and synchronization process can be adjusted and controlled by the discharge pattern and the strength of the stimulation signal. This result is helpful to study synchronization and encode of many neurons or neural network.
Starting Page	355
Ending Page	359
File Size	359502
Page Count	5
File Format	PDF
ISBN	9781424456420
e-ISBN	9781424456437
DOI	10.1109/ICCMS.2010.231
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-01-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Calcium Neurons Laboratories The Himdmarsh-Rose neuron the membrane potential Synchronization Coupling circuits Differential equations Biomembranes Frequency synchronization Signal analysis ISI Biomedical engineering
Content Type	Text
Resource Type	Article

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