Presentation | 2004/5/21 The properties of human luminance discrimination and the neural network model Akiko IWAIZUMI, Shin'ichiro KANOH, Ryoukou FUTAMI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Although a large number of studies have been made on the discrimination processes of sensory signals experimentary or computationally, there are still problems about what kind of sensory attributes are necessary at least or what is the primitive neural network model for discrimination. Firstly, psychophysical experiments of luminance discrimination were carried out. Furthermore, we assumed that the intensity and onset/offset of the stimulus are the most important sensory information for luminance discrimination and constructed the simple model neural network that holds the human luminance discrimination property. We discussed the computational principle of luminance discrimination at the level of neural networks. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | luminance / discrimination / reaction time distribution / error rate / neural network |
Paper # | NC2004-1 |
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Committee | NC |
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Conference Date | 2004/5/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The properties of human luminance discrimination and the neural network model |
Sub Title (in English) | |
Keyword(1) | luminance |
Keyword(2) | discrimination |
Keyword(3) | reaction time distribution |
Keyword(4) | error rate |
Keyword(5) | neural network |
1st Author's Name | Akiko IWAIZUMI |
1st Author's Affiliation | Department of Electronic Engmeering,Tohoku University() |
2nd Author's Name | Shin'ichiro KANOH |
2nd Author's Affiliation | Department of Electronic Engmeering,Tohoku University |
3rd Author's Name | Ryoukou FUTAMI |
3rd Author's Affiliation | Department of Electronic Engmeering,Tohoku University |
Date | 2004/5/21 |
Paper # | NC2004-1 |
Volume (vol) | vol.104 |
Number (no) | 99 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |