| Presentation | 1998/3/20 Evaluation of Association Cortex to Entorhinal-Hippocampal Neural Network Model for Learning and Recollection of Face by Part Representation Kakuen OHZAWA, Kiyomi NAKAMURA, Makoto YOSHIDA, Jinjun LIU, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is reported that there are face-feature coding neurons which respond face selectively in the inferior temporal cortex (IT) of monkey. This study proposed an association cortex to entorhinal-hippocampal neural network model that learned and recollected the unfamiliar stimuli, and we evaluated this model's performance by face recognition experiment. In this model it is assumed that the disinhibition from IT to PG is deeply concerned with action condition of entorhinal-hippocampal neural network which is important in the process of object's learning and recollection. This model is based on the neurophysiological experiment that the response to an unfamiliar stimulus of PG neuron is strong but that of IT neuron is weak. We used two coding methods. One is to code by the similarity of the face parts, and another is to code by the competitive learning. We compared the recognition rate of two methods in several cases. As a result, the coding method by similarity was better, but there was some restriction in this method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Association Cortex to Entorhinal-Hippocampal System / Gray Scaled Face Image / Coding / Similarity / Competitive Learning |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/3/20(1days) |
| Place (in Japanese) | (See Japanese page) |
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| 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) | Evaluation of Association Cortex to Entorhinal-Hippocampal Neural Network Model for Learning and Recollection of Face by Part Representation |
| Sub Title (in English) | |
| Keyword(1) | Association Cortex to Entorhinal-Hippocampal System |
| Keyword(2) | Gray Scaled Face Image |
| Keyword(3) | Coding |
| Keyword(4) | Similarity |
| Keyword(5) | Competitive Learning |
| 1st Author's Name | Kakuen OHZAWA |
| 1st Author's Affiliation | Department of Electronics and Informatics Toyama Prefectural University() |
| 2nd Author's Name | Kiyomi NAKAMURA |
| 2nd Author's Affiliation | Department of Electronics and Informatics Toyama Prefectural University |
| 3rd Author's Name | Makoto YOSHIDA |
| 3rd Author's Affiliation | Department of Electronics and Informatics Toyama Prefectural University |
| 4th Author's Name | Jinjun LIU |
| 4th Author's Affiliation | Department of Electronics and Informatics Toyama Prefectural University |
| Date | 1998/3/20 |
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| Volume (vol) | vol.97 |
| Number (no) | 624 |
| Page | pp.pp.- |
| #Pages | 8 |
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