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 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.
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Keyword(in English) luminance / discrimination / reaction time distribution / error rate / neural network
Paper # NC2004-1
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Committee NC
Conference Date 2004/5/21(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) 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