Presentation 2010-03-09
A computational theory of horizontal connection in primary visual cortex
Hiroaki SASAKI, Shunji SATOH, Shiro USUI,
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Abstract(in English) It is believed that in primary visual cortex(V1), neurons efficiently encode natural images by the sparse outputs of these neurons. However, such outputs of V1 cells are not sufficiently sparse because natural images have a spatial structure like edge and texture. Also the classical receptive fields of V1 cells are spatially overlapped. In this paper, we propose that the computational role of horizontal connection(HC) in V1 is to increase the efficiency of image coding. The estimated HC indicates a mexican hat like spatial distribution to natural images. First, we define a mathematical function evaluating the coding efficiency as a function of the HCs. Second, a HC distribution is obtained by computer simulations so that the simulated HC has a better performance for image encoding quantified by the evaluation function. We will show that a neural network model having the simulated HCs qualitatively reproduces some nonlinear properties of V1 neurons, e.g. size-tuning and contextual modulation.
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Keyword(in English) efficient coding / sparse coding / primary visual cortex / horizontal connection
Paper # NC2009-88
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Committee NC
Conference Date 2010/3/2(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A computational theory of horizontal connection in primary visual cortex
Sub Title (in English)
Keyword(1) efficient coding
Keyword(2) sparse coding
Keyword(3) primary visual cortex
Keyword(4) horizontal connection
1st Author's Name Hiroaki SASAKI
1st Author's Affiliation Faculty of Engineering, Tohoku University:Neuroinformatics, RIKEN BSI()
2nd Author's Name Shunji SATOH
2nd Author's Affiliation Graduate School of Information Systems, The University of Electro-Communications
3rd Author's Name Shiro USUI
3rd Author's Affiliation Neuroinformatics, RIKEN BSI
Date 2010-03-09
Paper # NC2009-88
Volume (vol) vol.109
Number (no) 461
Page pp.pp.-
#Pages 6
Date of Issue