Presentation	1998/3/20 An Supervised Learning Rule of Pulsed Neuron Model Susumu KUROYANAGI, Akira IWATA,
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Abstract(in English)	We have constructed a neural network model of sound localization using Pulsed Neuron (PN) models. However, it is difficult to construct the network model which processes complex aural information, because the designers have the necessity of estimating the connection weights of each PN models manually. In this article, we propose a supervised learning rule for PN model. In the result of the computer simulation, it is demonstrated that using this learning rule makes it possible to map input pulse sequences into the output of PN model automatically.
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Keyword(in English)	Sound Localization / Neural Network / Pulsed Neuron Model / Learning Rule / Supervised Learning
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Conference Information
Committee	NC
Conference Date	1998/3/20(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)	An Supervised Learning Rule of Pulsed Neuron Model
Sub Title (in English)
Keyword(1)	Sound Localization
Keyword(2)	Neural Network
Keyword(3)	Pulsed Neuron Model
Keyword(4)	Learning Rule
Keyword(5)	Supervised Learning
1st Author's Name	Susumu KUROYANAGI
1st Author's Affiliation	Dept.of Electrical and Computer Eng., Nagoya Institute of Technology()
2nd Author's Name	Akira IWATA
2nd Author's Affiliation	Dept.of Electrical and Computer Eng., Nagoya Institute of Technology
Date	1998/3/20
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Volume (vol)	vol.97
Number (no)	624
Page	pp.pp.-
#Pages	8
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