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J Korean Neurol Assoc. 2000;18(1):44-49.
- Effect of Synaptic Loss on Memory in a Neural Network Model
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InSong Koh, M.D., JeongWook Park, M.D., ByungKeol Choi, M.S., ChangKeun Kim, M.S., SunHee Yoon, M.S.
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Department of Biomedical Science, Division of Degenerative Diseases, National Institute of Health, Korea Biomedical Brain Research Center, Lab. Of Computational Neuroscience, National Institute of Health, Korea
- 신경망 모델에서 시냅스 소실이 기억력에 미치는 효과
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고인송, 박정욱 ·최병걸 ·김창근 ·윤선희
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국립보건원 특수질환부 퇴행성질환과 국립보건원 뇌의약학연구센터 수리신경과학 연구팀
- Abstract
- Background
: In order to understand the pathogenesis and symptom development in Alzheimer’s disease (AD), we attempted to develop a computer model for memory impairment in this study. Methods : We made a simple autoassocia-tive memory network, first developed by Hopfield, which remembers numbers or patterns, transformed it into an AD model by pruning synapses, and measured its memory performance as a function of synaptic deletion. Results : Decline in memory performance was measured as amount of synaptic loss increased and its mode of decline varied with different synaptic pruning methods. Conclusions : The developed computer model demonstrated how synaptic loss could cause memory impairment through a series of computer simulations, and suggested a new way of research in AD.
J Korean Neurol Assoc 18(1):44~49, 2000
Key Words : Alzheimer’s disease, Computer model, Neural network, Synapse, Memory impairment
Keywords :
- 초록
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