Detection of ordered wave in the networks of neurons with changeable connection

The probability of long-range connection among neurons could be changeable in biological neuronal networks. In this paper, the probability of long-range connection between neurons is not fixed at a constant but varies in a numerical region （≤P0）, and then the collective behaviors of neurons are dete...

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Bibliographic Details
Published in:Science China. Physics, mechanics & astronomy mechanics & astronomy, 2013-05, Vol.56 (5), p.952-959
Main Authors: Ma, Jun, Wu, Ying, Wu, NingJie, Guo, HaiYan
Format: Article
Language:English
Subjects:
Astronomy
Channel noise
Classical and Continuum Physics
Fluctuation
Joints
Networks
Neural networks
Neurons
Observations and Techniques
Phase transitions
Physics
Physics and Astronomy
Robustness
Robustness (mathematics)
Spirals
Statistical analysis
二维空间
有序
检测
相干共振
神经元网络
网络连接
行为观察
远程连接
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Summary:The probability of long-range connection among neurons could be changeable in biological neuronal networks. In this paper, the probability of long-range connection between neurons is not fixed at a constant but varies in a numerical region （≤P0）, and then the collective behaviors of neurons are detected. A statistical factor in the two-dimensional space is used to detect the phase transition and robustness of spiral wave in the active network of neurons. It is found that the development of spatiotem- poral pattern depends on the numerical region （≤P0） for the probability of long-range connection. Coherence resonance-like behavior is observed due to the fluctuation in the long-range probability. Spiral waves emerge to occupy the network of neu- rons under an optimized probability of long-range connection, and it shows certain robustness in weak channel noise.
ISSN:1674-7348
1869-1927
DOI:10.1007/s11433-013-5070-0