Title :
A New Method To Set Neural Synchronization Models
Author :
Li, Xiaomeng ; Ding, Yiming ; Fang, Fukang
Author_Institution :
Beijing Normal Univ.
Abstract :
Synchronization is an important issue in neuroscience. It is still a problem in computational neuroscience to set and analyze synchronization models, especially the model with complex synaptic equations and burst type neurons. We try to use a new mathematical method and apply a Lyapunov function to the searching for the right synaptic equation, which would make the potential of the given neurons synchronize in finite time
Keywords :
Lyapunov methods; neural nets; synchronisation; Lyapunov function; burst type neurons; complex synaptic equations; computational neuroscience; neural synchronization models; Bifurcation; Biological neural networks; Biological systems; Delay; Equations; Information processing; Ion accelerators; Limit-cycles; Neurons; Neuroscience;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614999
