Studies on mechanism of information processing in sense perception organ based on chaotic theory
Tong Qin-Ye · Journal of Zhejiang University(Engineering Science) · 2001
The mechanism of the biological neural system behavior has been the object of numerous and extensive studies. The basic tools of the neural description include RC model and H-H model for cellular membrane, and central conductor model for dendrites. The KIII model of KAY et al., simulates EEG, the chaotic response in the neural system. Most biologists agree the brain is a complicated nonlinear adaptive parallel analog network (NAPAN) of neural cells. Numerical results obtained in physiological experiments showed that there are mutual connections among neural cells and the varied ionic channels in the cellular membrane are nonlinear according to time. However there is seldom explanation for the high sensitivity and extreme plasticity of the neural system. Chaos theory as a significant achievement of present nonlinear dynamics has aroused wide attention. The principles of the biological sense organ and those traditional engineering techniques are utterly different. Engineering techniques rest on stability, equilibrium, orderliness and consistency of the system, which are all linear principles, whereas nonlinear dynamics of the chaos system rest its instability, disorderliness and the inconsistency of the system, and has aroused more and more attention. In this paper, the biological sense organ is considered as a special unstable system, on which the following questions must be answered: what is the mechanism of information processing; can it be realized in chaos state? This article presents a chaotic circuit applying butterfly character to measure signals, which is a new attempt to study the mechanism of information processing in a biological sense organ.