Title :
Model of four regions of the cerebellum
Author :
Kawato, M. ; Gomi, H.
Author_Institution :
ATR Auditory & Visual Perception Res. Lab., Kyogo, Japan
Abstract :
The authors propose computationally coherent models of the four regions of the cerebellum based on the feedback-error-learning scheme. They assume that climbing fiber responses represent efference copy of motor commands generated by premotor networks such as feedback controllers at the spinal, brain stem, and cerebral levels. Based on the long-term depression in Purkinje cells, which tends to decrease the premotor-network activity, different regions of the cerebellum learn to execute predictive and coordinative control of different types of movements and complement crude control by the premotor networks
Keywords :
brain models; neural nets; neurophysiology; Purkinje cells; brain model; cerebellum; climbing fiber responses; feedback-error-learning scheme; motor commands; neural nets; neurophysiology; premotor networks; Biological neural networks; Brain modeling; Circuits; Computational modeling; Indium tin oxide; Inverse problems; Laboratories; Nonlinear dynamical systems; Supervised learning; Visual perception;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170436