Presentation	2004/10/11 A Supervised Learning Rule Adjusting Input-Output Pulse Timing for Pulsed Neural Network Makoto MOTOKI, Seiichi KOAKUTSU, Hironori HIRATA,
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Abstract(in English)	Some supervised learning rules are already proposed for pulsed neural network (PNN). Those learning rules express information by pulse frequency. However, it is also important to adjust input pulse timing to network and output pulse timing from network. Those learning rule can not learn the pulse timing. Therefore, we propose a supervised learning rule adjusting input/output pulse timing for PNN in this paper. Result of computer simulation, We verified that the proposed method is possible for learning of pulse timing in multi-stage feedforward PNN.
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Keyword(in English)	pulsed neural network / supervised learning rule / pulse timing / pulse frequency
Paper #	NC2004-57
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Conference Information
Committee	NC
Conference Date	2004/10/11(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
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Title (in English)	A Supervised Learning Rule Adjusting Input-Output Pulse Timing for Pulsed Neural Network
Sub Title (in English)
Keyword(1)	pulsed neural network
Keyword(2)	supervised learning rule
Keyword(3)	pulse timing
Keyword(4)	pulse frequency
1st Author's Name	Makoto MOTOKI
1st Author's Affiliation	Chiba University()
2nd Author's Name	Seiichi KOAKUTSU
2nd Author's Affiliation	Chiba University
3rd Author's Name	Hironori HIRATA
3rd Author's Affiliation	Chiba University
Date	2004/10/11
Paper #	NC2004-57
Volume (vol)	vol.104
Number (no)	348
Page	pp.pp.-
#Pages	6
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