| Presentation | 2009-03-12 Fractional derivative of Gaussian functions : A model for spatio-temporal receptive fields of V1 simple cells Shunji SATOH, Shiro USUI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A novel model for spatio-temporal receptive fields of V1 simple neurons is proposed by introducing fractional order derivatives. We consider the computational role of V1 simple neurons, and derive physiologically acceptable and theoretically optimal image-bases representing retinal images. The image-bases are derived as solutions of a variational problem which formulates the necessities of visual processing by V1 neurons. Using the derived image-bases, a new mathematical model for spatio-temporal receptive fields is derived. A model for binocular V1 neurons selective to spatial disparities and motion directions is also presented. We evaluate the plausibility of these models using actual data given by electro-physiological experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | V1 / receptive field / model / fractional order derivative |
| Paper # | NC2008-127 |
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| Committee | NC |
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| Conference Date | 2009/3/4(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| 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) | Fractional derivative of Gaussian functions : A model for spatio-temporal receptive fields of V1 simple cells |
| Sub Title (in English) | |
| Keyword(1) | V1 |
| Keyword(2) | receptive field |
| Keyword(3) | model |
| Keyword(4) | fractional order derivative |
| 1st Author's Name | Shunji SATOH |
| 1st Author's Affiliation | Neuroinformatics, Riken BSI() |
| 2nd Author's Name | Shiro USUI |
| 2nd Author's Affiliation | Neuroinformatics, Riken BSI |
| Date | 2009-03-12 |
| Paper # | NC2008-127 |
| Volume (vol) | vol.108 |
| Number (no) | 480 |
| Page | pp.pp.- |
| #Pages | 6 |
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