| Presentation | 1998/3/20 Self-Consistent Signal-to-Noise Analysis of the Statistical Behavior of Feed-Forward Chains of Recurrent Attractor Neural Networks Tatsuto MURAYAMA, Masatoshi SHIINO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We perform the Self-Consistent Signal-to-Noise Analysis for a layered network of Ising spin neurons, with recurrent Hebbian interactions within each layer, in combination with strictly feed-forward Hebbian interactions between successive layers. We show the phase diagram obtained by the SCSNA. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | associative memory / asymmetric couplings / layered attractor networks / TAP equation / replica method / SCSNA |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1998/3/20(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) | Self-Consistent Signal-to-Noise Analysis of the Statistical Behavior of Feed-Forward Chains of Recurrent Attractor Neural Networks |
| Sub Title (in English) | |
| Keyword(1) | associative memory |
| Keyword(2) | asymmetric couplings |
| Keyword(3) | layered attractor networks |
| Keyword(4) | TAP equation |
| Keyword(5) | replica method |
| Keyword(6) | SCSNA |
| 1st Author's Name | Tatsuto MURAYAMA |
| 1st Author's Affiliation | Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology() |
| 2nd Author's Name | Masatoshi SHIINO |
| 2nd Author's Affiliation | Department of Applied Physics, Tokyo Institute of Technology |
| Date | 1998/3/20 |
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| Volume (vol) | vol.97 |
| Number (no) | 624 |
| Page | pp.pp.- |
| #Pages | 8 |
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