Effect of Synaptic Loss on Memory in a Neural Network Model
Journal of the Korean Neurological Association
;
: 44-49, 2000.
Article
in Korean
| WPRIM
| ID: wpr-104077
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Synapses
/
Computer Simulation
/
Neural Networks, Computer
/
Alzheimer Disease
/
Memory
Language:
Korean
Journal:
Journal of the Korean Neurological Association
Year:
2000
Type:
Article
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