| Presentation | 2020-03-06 Conjunctive Representation of Position and Magnitude in an expansion of Continuous Attractor Networks Jonathan Kar-Sing Lai, Yoko Yamaguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Continuous Attractor Neural Networks are often used as models of working memory where they store information through their position in a continuous state-space. While many neurophysiological findings support information representation as the location of firing in a neural manifold, results in vectorial representations in the brain have shown firing rate magnitude can also be important. We present a model that extends on a continuous attractor network model. It is capable of representing both position and magnitude through the reversible collapse of continuous attractor dynamics into a point attractor representing the convolution of input and neural weights. The resulting model can represent both location and magnitude information while exhibiting good noise rejection behaviours. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Continuous Attractor Neural NetworksNeural NetworksWorking MemoryAttractor NetworksPopulation Coding |
| Paper # | NC2019-104 |
| Date of Issue | 2020-02-26 (NC) |
| Conference Information | |
| Committee | NC / MBE |
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| Conference Date | 2020/3/4(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | University of Electro Communications |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neuro Computing, Medical Engineering, etc. |
| Chair | Hayaru Shouno(UEC) / Taishin Nomura(Osaka Univ.) |
| Vice Chair | Kazuyuki Samejima(Tamagawa Univ) / Takashi Watanabe(Tohoku Univ.) |
| Secretary | Kazuyuki Samejima(NAIST) / Takashi Watanabe(NTT) |
| Assistant | Takashi Shinozaki(NICT) / Ken Takiyama(TUAT) / Yasuyuki Suzuki(Osaka Univ.) / Akihiro Karashima(Tohoku Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on ME and Bio Cybernetics |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Conjunctive Representation of Position and Magnitude in an expansion of Continuous Attractor Networks |
| Sub Title (in English) | |
| Keyword(1) | Continuous Attractor Neural NetworksNeural NetworksWorking MemoryAttractor NetworksPopulation Coding |
| 1st Author's Name | Jonathan Kar-Sing Lai |
| 1st Author's Affiliation | University of Tokyo(UTokyo) |
| 2nd Author's Name | Yoko Yamaguchi |
| 2nd Author's Affiliation | Kanazawa Institute of Technology/University of Tokyo/RIKEN(KIT/UTokyo/RIKEN CBS) |
| Date | 2020-03-06 |
| Paper # | NC2019-104 |
| Volume (vol) | vol.119 |
| Number (no) | NC-453 |
| Page | pp.pp.163-167(NC), |
| #Pages | 5 |
| Date of Issue | 2020-02-26 (NC) |