Neural Network Model of Basal Ganglia: Preliminary Study.
- Author:
Kyoung Gyu CHOI
1
Author Information
1. Department of Neurology, Ewha Woman's University Medical School.
- Publication Type:Original Article
- MeSH:
Basal Ganglia*;
Computer Simulation;
Ganglia;
Globus Pallidus;
Movement Disorders;
Neural Networks (Computer)*;
Neuroanatomy;
Neurons;
Neuropharmacology;
Neurophysiology;
Neurosciences;
Parkinson Disease
- From:Journal of the Korean Neurological Association
1996;14(2):455-462
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
A parallel distributed neural network model of basal ganglia based on the neuroanatomy, neuropharmacology and neurophysiology is described. Despite recent advances in the understanding of the pathophysiology of movement disorders, little is known about the precise function the banal ganglia play in the control of movement. This article reviews an approach to studying the function of neural systems that is based on the use of a class of a computer models as parallel distributed processors (PDPs) and indicate its potential range of applications to the study of movement disorders. On this model, nigro-striatal dopaminergic system is considered as a threshold on the cortico-striatal glutamatergic fibers. So this dopaminergic system can control the striatal output to the globus pallidus and the striatal net model is consistent with clinical effect of Parkinson's disease that shows loss of dopaminergic function on the striatal medium spiny neurons due to nigral degeneration. The pallidal net is more complicated due to the probable reciprocal effects of dopaminergic function on the direct and indirect pathways of striato-pallidal connections which is not well known at present. But the neural network modal of PDPs would be a important field of neuroscience in a near future.