Paper Abstract and Keywords |
Presentation |
2009-01-20 15:05
A Neural Network Model Explaining the Motion Detection Sensitivity Enhanced and Degraded by Induced Motion Satohiro Tajima, Hiromasa Takemura, Ikuya Murakami (Univ. Tokyo), Masato Okada (Univ. Tokyo/RIKEN) NC2008-99 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Motion in the visual context is known to cause a repulsive bias in the perception of the target motion. This phenomenon is called 'induced motion'. Recently, Takemura and Murakami (VSS, 2008) reported that the detection sensitivity to the target motion can be enhanced (or degraded) by adding a slow (or fast) surrounding motion in an orthogonal direction, even though here the illusory motion component caused by the surround is not relevant to the task. It is not computationally clear how the task-irrelevant component of motion modulates the subject's sensitivity to motion detection. In the present study we analyzed as well as simulated the effects of encoding biases on the detection performance by modeling the stochastic neural population activities. We found that the motion detection performance of the ideal observer was enhanced or degraded by a task-irrelevant, additive motion component, replicating the properties observed in the real subjects. This means that the enhancement and degradation found in detection sensitivity can be understood as consequences of the noisy neural encoding that limits the resolution of information transmission in the cortical visual processing pathway. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Motion perception / Induced motion / Population coding / Noise / Maximum likelihood estimation / Ideal observer / Detection sensitivity / |
Reference Info. |
IEICE Tech. Rep., vol. 108, no. 383, NC2008-99, pp. 95-100, Jan. 2009. |
Paper # |
NC2008-99 |
Date of Issue |
2009-01-12 (NC) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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NC2008-99 |
Conference Information |
Committee |
NC |
Conference Date |
2009-01-19 - 2009-01-20 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Neural Dynamics, etc. |
Paper Information |
Registration To |
NC |
Conference Code |
2009-01-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Neural Network Model Explaining the Motion Detection Sensitivity Enhanced and Degraded by Induced Motion |
Sub Title (in English) |
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Keyword(1) |
Motion perception |
Keyword(2) |
Induced motion |
Keyword(3) |
Population coding |
Keyword(4) |
Noise |
Keyword(5) |
Maximum likelihood estimation |
Keyword(6) |
Ideal observer |
Keyword(7) |
Detection sensitivity |
Keyword(8) |
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1st Author's Name |
Satohiro Tajima |
1st Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
2nd Author's Name |
Hiromasa Takemura |
2nd Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
3rd Author's Name |
Ikuya Murakami |
3rd Author's Affiliation |
The University of Tokyo (Univ. Tokyo) |
4th Author's Name |
Masato Okada |
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The University of Tokyo (Univ. Tokyo/RIKEN) |
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Speaker |
Author-1 |
Date Time |
2009-01-20 15:05:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2008-99 |
Volume (vol) |
vol.108 |
Number (no) |
no.383 |
Page |
pp.95-100 |
#Pages |
6 |
Date of Issue |
2009-01-12 (NC) |
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