Title :
On the nonlinear stochastic evolution model possessing the populations of neurons of different phase
Author_Institution :
Inst. for Brain Inf. Process. & Cognitive Neurosci., Donghua Univ., Shanghai, China
Abstract :
In this paper the synchronized firing model proposed by T. A Tass [Peter A. Taas, 1999] is generalized to the population of neurons possessing different phase. It follows that the nonlinear stochastic evolution model for the population of neurons possessing different phase is obtained. Due to synchronized firing for population of neurons possessing different phase in cognitive procedure to be largely existent, the evolution model is obtained in this paper possessing important sense in neural informatics.
Keywords :
cognition; neural nets; stochastic processes; cognitive procedure; neural informatics; neuron population; nonlinear stochastic evolution model; synchronized firing; Brain modeling; Educational institutions; Informatics; Information processing; Neurons; Neuroscience; Oceans; Oscillators; Stochastic processes; Stochastic resonance;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279231