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J Korean Neurol Assoc. 1998;16(3):326-330.
- NEURAL NETWORK MODEL OF MECHANISM OF PARKINSON SYMPTOMS
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Kyoung Gyu Choi, M.D. Yong Jae Kim, M.D., Kee Duk Park,M.D.
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Department of Neurology, Ewha Womans University Medical College, Seoul, Korea
- 파킨슨증상 발현 기전의 신경망적 모델
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최경규, 김용재, 박기덕
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이화의대 신경과학교실
- Abstract
- Background
: Despite recent advances in the understanding of the pathophysiology based
on the clinical symptomatology, neurobiology, and electrophysiology, little is known about the precise function
the basal ganglia play in the control of movement. But rapid progress in computational neuroscience has shown
networks of neural-like elements can accomplish impressive cognitive feats. We intend to make neural network
model that may theoretically explain the basal ganglia function. Methods: We used an approach to studying the
function of neural system that is based on a class of computer models known as parallel distributed processors
(PDP). Results: We made a theoretical model that showed increased reaction time and decreased movement
velocity as the amount of dopamine decreased. And the lesion studies of substantia nigra also showed increased
reaction time as in bradykinesia. Conclusions: There were many problems to be solved for explaining the
function of striato-pallidal and striato-pallidal-subthalamic-pallidal circuits. But we propose the neural network
model would be an important tool, which may help to bridge the gap between theoretical studies on the function
of the brain and experimental work on the neurobiology of the brain.
Key Words: Basal ganglia, Parkinson disease, Neural network
Keywords :
- 초록
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