Presentation	2001/3/16 Neuromodulation in the synaptic modification rule for a neural network model Tatsuo KITAJIMA, Kenichi HARA,
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Abstract(in English)	Long-term potentiation(LTP)serves an essential function in the encoding and storage of memory traces. To understand the role of neuromodulation in learning and memory, the effects of neuromodulators on LTP and long-term depression(LTD)must be clarified. An integrated rule was previously developed for activity-dependent synaptic modifications based on the mechanisms of LTP and LTD. This rule has now been applied to neural network models and the neuromodulatoly effect on autoassociative memoly was analyzed through computer simulation of a network model. Furthermore, it was shown that synaptic depression plays an important role in the autoassociative memory function.
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Keyword(in English)	neuromodulation / integrated synaptic learning rule / LTD, / autoassociative memory
Paper #	NC2000-156
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Conference Information
Committee	NC
Conference Date	2001/3/16(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Neuromodulation in the synaptic modification rule for a neural network model
Sub Title (in English)
Keyword(1)	neuromodulation
Keyword(2)	integrated synaptic learning rule
Keyword(3)	LTD,
Keyword(4)	autoassociative memory
1st Author's Name	Tatsuo KITAJIMA
1st Author's Affiliation	Faculty of Engineering Yamagata University()
2nd Author's Name	Kenichi HARA
2nd Author's Affiliation	Faculty of Science and Engineering Ishinomaki Sensyu University
Date	2001/3/16
Paper #	NC2000-156
Volume (vol)	vol.100
Number (no)	688
Page	pp.pp.-
#Pages	8
Date of Issue