| Presentation | 2012-07-31 A Biological Implementation of Bayesian Estimation Algorithm in a Neural Network Architecture Based on Discrete Choice Theory Daiki FUTAGI, Ryota KOBAYASHI, Katsunori KITANO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Bayesian estimation theory has been expected to explain how brain deals with uncertainty such as feature extraction against noisy observations. It has been implied that the neural networks that model cortical network could implement the Bayesian estimation algorithm by several previous studies. However, it is still unclear whether it is possible to implement the required computational procedures of the algorithm under physiological and anatomical constraints of the neural systems. We here propose the neural network that implements the algorithm in a biologically plausible manner, incorporating the discrete choice theory into the previously proposed model. Our model successfully demonstrated an orientation discrimination task with significantly noisy visual images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian estimation theory / neural network / discrete choice theory / normalization / log-normal distribution |
| Paper # | NC2012-28 |
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| Committee | NC |
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| Conference Date | 2012/7/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| 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) | A Biological Implementation of Bayesian Estimation Algorithm in a Neural Network Architecture Based on Discrete Choice Theory |
| Sub Title (in English) | |
| Keyword(1) | Bayesian estimation theory |
| Keyword(2) | neural network |
| Keyword(3) | discrete choice theory |
| Keyword(4) | normalization |
| Keyword(5) | log-normal distribution |
| 1st Author's Name | Daiki FUTAGI |
| 1st Author's Affiliation | Graduate School of Information Science and Engineering, Ritsumeikan University() |
| 2nd Author's Name | Ryota KOBAYASHI |
| 2nd Author's Affiliation | Department of Information Science and Engineering, Ritsumeikan University |
| 3rd Author's Name | Katsunori KITANO |
| 3rd Author's Affiliation | Department of Information Science and Engineering, Ritsumeikan University |
| Date | 2012-07-31 |
| Paper # | NC2012-28 |
| Volume (vol) | vol.112 |
| Number (no) | 168 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |