A Neural Network Model Composed of Multioscillators to Generate Low-Frequency Biological Rhythms.

Autor: Endo, Shuji, Kinouchi, Yohsuke, Ushita, Tomiyuki
Předmět:
Zdroj: Systems & Computers in Japan; Aug88, Vol. 19 Issue 8, p97-106, 10p
Abstrakt: The biological system has low-frequency rhythms, such as a circadian rhythm. In general, it is considered that the source of the circadian rhythm is mostly the neural system, such as optic lobe and suprachiasmatic nucleus. This paper proposes a neural network model which can generate the low-frequency biological rhythm, and discusses its characteristics. The model is composed of the set of neural oscillators composed of excitatory-inhibitory neuron pairs, together with a neuron taking the sum of the oscillator activities. By feeding back the activity of the summing neutron to the oscillators by a suitable magnitude, the proper frequency of the whole model is decreased, realizing the low-frequency rhythm. The generation condition for the low-frequency rhythm is derived through the approximate analysis of the model and the computer simulation. The properties of the generated rhythm are discussed. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index