DocumentCode :
1629776
Title :
Dynamic neural structure for long-term memory formation
Author :
Homma, Noriyasu ; Sakai, Masao ; Abe, Kenichi ; Takeda, Hiroshi
Author_Institution :
Fac. of Med., Tohoku Univ., Sendai, Japan
Volume :
3
fYear :
2004
Firstpage :
2272
Abstract :
This paper demonstrates that a novel neural structure can be useful for formation of long-term memory. An essential core of the proposed model is a control signal for learning or memory formation, inspired by a possible biological learning mechanism observed in cerebral cortices and hippocampus. From a biological point of view, the control signal can be generated by the limbic system according to cognitive results. The model involves the feedback from the cognitive results based on the current long-term memories, representing the current knowledge, to a control signal that decides whether the present input should be memorized or not. Simulation results show that the model can possess some biologically observed features of human memory systems.
Keywords :
brain models; learning (artificial intelligence); neural nets; biological learning mechanism; cerebral cortices; control signal; dynamic neural structure; feedback; hippocampus; human memory system; limbic system; long-term memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
Type :
conf
Filename :
1491824
Link To Document :
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