Presentation | 2006-05-26 Model neural network for responses in two-choice luminance-discrimination RT task with stimulus onset asynchrony Akiko IWAIZUMI, Ryoko FUTAMI, Hidetoshi MATSUKI, Yoiti SUZUKI, |
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Abstract(in English) | Reaction time (RT) and error rate were influenced by small stimulus onset asynchrony (SOA) in a two-choice luminance-discrimination RT task. The dependence on the SOA was successfully reproduced by introducing global inhibitors to prevent unnecessary integration of sensory information, and neuron chains with feedforward mutual inhibition as a asvnchronism detector of two flashes, into the previous model that Iwaizumi et al. proposed. The revised model not only reproduced responses of these two-choice luminance discrimination tasks both with and without the SOA but also reproduced those of suprathreshold single-stimulus detection tasks in a wide range of stimulus luminance. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | discrimination / SOA / reaction time / feedforward inhibition |
Paper # | NC2006-5 |
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Committee | NC |
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Conference Date | 2006/5/19(1days) |
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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) | Model neural network for responses in two-choice luminance-discrimination RT task with stimulus onset asynchrony |
Sub Title (in English) | |
Keyword(1) | discrimination |
Keyword(2) | SOA |
Keyword(3) | reaction time |
Keyword(4) | feedforward inhibition |
1st Author's Name | Akiko IWAIZUMI |
1st Author's Affiliation | Graduate School of Engineering, Tohoku University() |
2nd Author's Name | Ryoko FUTAMI |
2nd Author's Affiliation | Faculty of Symbiotic Systems Science, Fukushima University |
3rd Author's Name | Hidetoshi MATSUKI |
3rd Author's Affiliation | Graduate School of Engineering, Tohoku University |
4th Author's Name | Yoiti SUZUKI |
4th Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
Date | 2006-05-26 |
Paper # | NC2006-5 |
Volume (vol) | vol.106 |
Number (no) | 79 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |