Presentation | 1993/12/14 A neural network model of a motion detection taking recruitment into accou Yasuhiro Unno, Norihiro Uchida, Yoshifumi Shimodaira, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Neural network models for visual motion detection mechanisms were studied by the computer simulation.As a result,A simple neural network was constituted by the simulation and it has the same ability of motion detection as the neural network pripviously reported.Bidirectional motion detection unit can be comprised of two one-directional motion detection units which mutually suppress their output.This mutual connection make the motion selectivity high.Motion detection models of neural network which have characteristics of the recruitment are systematized.The recruitment effects of these models are consistent with those reported by psychophysical and physiological studies. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Motion detection / Mutual suppression / Direction selectivity / recruitment / Neural network model |
Paper # | NC93-58 |
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Committee | NC |
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Conference Date | 1993/12/14(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | A neural network model of a motion detection taking recruitment into accou |
Sub Title (in English) | |
Keyword(1) | Motion detection |
Keyword(2) | Mutual suppression |
Keyword(3) | Direction selectivity |
Keyword(4) | recruitment |
Keyword(5) | Neural network model |
1st Author's Name | Yasuhiro Unno |
1st Author's Affiliation | Faculty of Engineering,Shizuoka University() |
2nd Author's Name | Norihiro Uchida |
2nd Author's Affiliation | Faculty of Engineering,Shizuoka University |
3rd Author's Name | Yoshifumi Shimodaira |
3rd Author's Affiliation | Faculty of Engineering,Shizuoka University |
Date | 1993/12/14 |
Paper # | NC93-58 |
Volume (vol) | vol.93 |
Number (no) | 376 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |