| Presentation | 2004/6/18 Stochastic transition of attractors in an associative memory model with correlated noise Masaki KAWAMURA, Masato OKADA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The mechanism of correlated firing has been analyzed in various models. However, its function has not been discussed enough. Aoki and Aoyagi have shown that state of network transits by not thermal noise but correlated noise. We discuss dynamics of a recurrent neural network with correlated noise in order to analyze effect of the correlated noise. In this report, we introduce two types of noise for each neuron : independent noise and common noise. Because of the effects of the common noise, the correlation between neural inputs cannot be ignored, and then behavior of the network has sample dependence. The associative memory model stores hierarchically correlated patterns. We derive a macroscopic dynamical description as a recurrence relation form of a probability density function, when the common noise exists. Furthermore, stochastic transition from a stored pattern to a mixed state by the common noise is analyzed. The results by computer simulations agree with those of theory. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | associative memory model / correlated firing / sample dependent |
| Paper # | NC2004-34 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2004/6/18(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) | Stochastic transition of attractors in an associative memory model with correlated noise |
| Sub Title (in English) | |
| Keyword(1) | associative memory model |
| Keyword(2) | correlated firing |
| Keyword(3) | sample dependent |
| 1st Author's Name | Masaki KAWAMURA |
| 1st Author's Affiliation | Faculty of Science, Yamaguchi University() |
| 2nd Author's Name | Masato OKADA |
| 2nd Author's Affiliation | Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute:"Intelligent Cooperation and Control", PRESTO, Japan Science and Technology Agency |
| Date | 2004/6/18 |
| Paper # | NC2004-34 |
| Volume (vol) | vol.104 |
| Number (no) | 140 |
| Page | pp.pp.- |
| #Pages | 6 |
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