Paper Info
Title
Study on decision algorithm of Neurons' synchronization based on neurodynamics
Abstract
In the paper, based on the neurodynamics theory and the existing neuron synchronization's research findings, the dynamic phase function which can describe the neuron's discharge characteristics is defined and revised, and the neuron synchronization decision algorithm and procedure based on the dynamic phase function is put forward. The synchronization characteristics and rule of the two uncoupled HR neurons are discussed by the synchronization decision algorithm. Compared with other decision indexes and algorithms, the neuron synchronization decision algorithm based on the dynamic phase function can not only judge the three common synchronization types: asynchronization, the generalized synchronization, and the phase synchronization, but also quantitatively solve the critical value of the neurons' realizing synchronization such as the stimulation current amplitude.
Year
DOI
Venue
2012
10.1007/978-3-642-31346-2_26
ISNN (1)
Keywords
DocType
Citations 
decision index,neuron synchronization decision algorithm,existing neuron synchronization,uncoupled hr neuron,phase synchronization,generalized synchronization,dynamic phase function,synchronization decision algorithm,synchronization characteristic,common synchronization type
Conference
0
PageRank 
References 
Authors
0.34
2
2
Name
Order
Citations
PageRank
Xiaoying He123.02
Yueping Peng263.75