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Paper Abstract and Keywords
Presentation 2014-03-17 14:30
Analysis of Neural Circuit for Visual Attention using Lognormally Distributed Input
Yoshihiro Nagano (Keio Univ.), Norifumi Watanabe (TUT), Atsushi Aoyama (Keio Univ.) NC2013-96
Abstract (in Japanese) (See Japanese page) 
(in English) Recent physiological studies have indicated that visual attention modulates neural activity depending on the cell types in V4. Specifically, narrow spiking (NS) neurons and broad spiking (BS) neurons, which are classified according to the spiking waveforms, have both reported to exhibit increased firing rate and less inter-trial variations for attention. We simulated the NS and BS neural activity for visual attention using a neural network model based on spontaneous activity, under the assumption that the visual attention modulation would be shown by the change in variance of input firing rate distributed with a lognormal distribution. Consistent with the physiological studies, an increase in firing rate and a decrease in inter-trial variance was simultaneously obtained in simulations by increasing variance of input firing rate distribution. These results indicate that visual attention forms strong sparse and weak dense input or a 'winner-take-all' state, to improve the signal-to-noise ratio of the target information.
Keyword (in Japanese) (See Japanese page) 
(in English) Visual Attention / Neural Network Model of Spontaneous Activity / Lognormal Distribution / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 500, NC2013-96, pp. 47-52, March 2014.
Paper # NC2013-96 
Date of Issue 2014-03-10 (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)
Download PDF NC2013-96

Conference Information
Committee NC MBE  
Conference Date 2014-03-17 - 2014-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tamagawa University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2014-03-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Neural Circuit for Visual Attention using Lognormally Distributed Input 
Sub Title (in English)  
Keyword(1) Visual Attention  
Keyword(2) Neural Network Model of Spontaneous Activity  
Keyword(3) Lognormal Distribution  
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1st Author's Name Yoshihiro Nagano  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Norifumi Watanabe  
2nd Author's Affiliation Tokyo University of Technology (TUT)
3rd Author's Name Atsushi Aoyama  
3rd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2014-03-17 14:30:00 
Presentation Time 20 minutes 
Registration for NC 
Paper # NC2013-96 
Volume (vol) vol.113 
Number (no) no.500 
Page pp.47-52 
#Pages 6 
Date of Issue 2014-03-10 (NC) 

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