소뇌의 신경회로망 해석을 위한 운동제어계의 실현

Realization of the Dynamic Control System for the Neural Network Analysis of the Cerebellum

소뇌의 운동제어특성을 해석하기위한 시뮬레이션 모델을 소뇌의 소뇌피질을 중심으로 하는 두 입력방법의 소뇌 운동제어시스템으로 구성하였다. 소외피질의 다섯신경세포의 이득을 임의의 상수꼐수로 하고 이들 신경세포와 두 입력신호에서 비롯되는 결함계수와 그 크기를 정의하고 이들이 target cell에 미치는 영향을 전달함수로 유도하고 이에 필요한 보상방법을 제시하였다

This paper deals with a new approach to the modelling of neural interactions in the cerebellar cortex to construct a general purpose electronic simulation model. Since physiological data show that cerebellar neural activity changes in an approximately pulse manner in response to pulse stimulation, the differences in timing between excitation and inhibition of cerebellar cells will be treated as pure time delays and the transfer functions of the cells will be presented by pure gains. The parameters to be discussed in this paper are the coupling coefficients between a cell and its several inputs, the magnitude of a coupling coefficient which is presented as a measure of how much influnce a particular has on its target cell. And also this paper has been proposed that the cerrbellum engaged in improving the overall performance of the motor control system, i.e., the cerebellum is a compensator.