Title :
Neural Synchronization Models and the Potential Function of Phases
Author :
Li, Xiaomeng ; Fang, Fukang
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing
Abstract :
Synchronization is familiar in the different layers of neural systems, which is important for realizing the neural functions. So it is worth talking about the cause of neural synchronization. In this paper we set two groups of neural synchronization models using "the numerical approaching", and found that the potential function of phases could be used to describe the evolving pattern of synchronization neurons.
Keywords :
neural nets; neurophysiology; physiological models; synchronisation; neural functions; neural synchronization models; numerical approaching; phase potential function; synchronization neurons; Analytical models; Computational modeling; Equations; Neurons; Numerical models; Telecommunication computing; Synchronization; potential function; the numerical approaching;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.216
