Title :
General model of neuronal population activity
Author :
Jiao, Xianfa ; Wang, Rubin
Abstract :
We propose a general model of neuronal population activity, where the variation of the amplitude of the neuronal oscillator is introduced to describe the resting state of neuronal oscillator. We introduce a firing density to describe the collective behavior of neuronal population. By numerical simulations we found that a stronger stimulation brings the collective firing of a neuronal population into synchronous oscillation, desynchronization, and resynchronization. This suggests that a stronger stimulation could enhance information coding that is mediated by the firing density of a neuronal population. Numerical simulation shows that external stimulation can improve the learning effect of nervous system
Keywords :
neurophysiology; numerical analysis; collective firing; firing density; nervous system; neuronal oscillator; neuronal population activity; neuronal population collective behavior; numerical simulations; resting state; Biological neural networks; Biological system modeling; Biomembranes; Brain modeling; Information processing; Information science; Nervous system; Neurons; Numerical simulation; Oscillators;
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776886
