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Paper Abstract and Keywords
Presentation 2009-03-19 10:20
Discriminating natural image statistics from neural population codes
Satohiro Tajima (The Univ. Tokyo), Masato Okada (The Univ. Tokyo/RIKEN)
Abstract (in Japanese) (See Japanese page) 
(in English) The power law in the amplitude spectra of natural scenes provides not just an efficient description of them but also a foundation for image processing. Psychophysical studies show that the the forms of the amplitude spectra are clearly related to the human visual performances. However, the underlying neuronal mechanism and computation that account for the perception of the natural image statistics is poorly known. We propose a theoretical framework for neuronal encoding and decoding of the natural image statistics, hypothesizing the elicited population activities
of spatial-frequency selective neurons observed in early visual cortex. The predictions by the computational model are consistent to the experimental data reported in the previous study. Especially, the qualitative disparities between performances in fovea and parafovea can be explained based on the distributional difference over preferred frequencies of neurons. The model predicts that the frequency-tuned neurons have asymmetric tuning curves for the amplitude spectrum slopes.
Keyword (in Japanese) (See Japanese page) 
(in English) natural image statistics / texture perception / spatial frequency / amplitude spectra / population code / Fisher information / primary visual cortex / fovea-parafovea  
Reference Info. ITE Tech. Rep., vol. 33, no. 17, HI2009-75, pp. 29-32, March 2009.
Paper # HI2009-75 
Date of Issue 2009-03-11 (HI) 
ISSN Print edition: ISSN 1342-6893
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Conference Information
Committee HI  
Conference Date 2009-03-18 - 2009-03-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To HI 
Conference Code 2009-03-HI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Discriminating natural image statistics from neural population codes 
Sub Title (in English)  
Keyword(1) natural image statistics  
Keyword(2) texture perception  
Keyword(3) spatial frequency  
Keyword(4) amplitude spectra  
Keyword(5) population code  
Keyword(6) Fisher information  
Keyword(7) primary visual cortex  
Keyword(8) fovea-parafovea  
1st Author's Name Satohiro Tajima  
1st Author's Affiliation The University of Tokyo (The Univ. Tokyo)
2nd Author's Name Masato Okada  
2nd Author's Affiliation The University of Tokyo/RIKEN (The Univ. Tokyo/RIKEN)
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Speaker Author-1 
Date Time 2009-03-19 10:20:00 
Presentation Time 20 minutes 
Registration for HI 
Paper # HI2009-75 
Volume (vol) vol.33 
Number (no) no.17 
Page pp.29-32 
#Pages
Date of Issue 2009-03-11 (HI) 


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