Presentation 1997/3/17
Function of autoassociative memory in a neural network model : Application of LTP/TD-like learning rule
Tatsuo KITAJIMA, Ken-ichi HARA,
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Abstract(in English) A neural network model of the CA3 region og thr hippocampus with suppression mediated via activation of septum is constructed based on experimental results. It is composed of three neurons with afferent and intrinsic synapses and feedback inhibitory interneurons. Intrinsic synapses are modulated according to the mechanisms of btrain-like learning rule such as LTP and LTD. It has been shown by computer simulations of the model how autoassociative memory function can be obtained by network interactions and activity-dependent synaptic modifications.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Autoassociative memory / LTP/LTD-like learning rule / Long-term potentiation / Long-term depression / Neural network model
Paper # NC96-128
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Conference Information
Committee NC
Conference Date 1997/3/17(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Function of autoassociative memory in a neural network model : Application of LTP/TD-like learning rule
Sub Title (in English)
Keyword(1) Autoassociative memory
Keyword(2) LTP/LTD-like learning rule
Keyword(3) Long-term potentiation
Keyword(4) Long-term depression
Keyword(5) Neural network model
1st Author's Name Tatsuo KITAJIMA
1st Author's Affiliation Faculty of Engineering Yamagata University()
2nd Author's Name Ken-ichi HARA
2nd Author's Affiliation Faculty of Science and Engineering Ishinomaki Sensyu University
Date 1997/3/17
Paper # NC96-128
Volume (vol) vol.96
Number (no) 583
Page pp.pp.-
#Pages 8
Date of Issue