Presentation | 2004/11/19 Representing the bifurcation structure of BVP neuron model onto a self-organising map by using modular network SOM (mnSOM) Syuji KANEKO, Syozo YASUI, Tetsuo FURUKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The modular network SOM (mnSOM) is a generalization of Kohonen's Self-Organizing Maps (SOM) in which each nodal unit is replaced by a function module instead of a weight vector. By employing a recurrent neural network (RNN) as the function module, the mnSOM acquires an ability to deal with dynamical systems. The RNN-module-mnSOM learns the dynamics from a set of time series data in parallel with generating a feature map which describes the underlying models as well as their relationships. In this paper, an application result of mnSOM to classifying task of neuronal firing patterns is reported. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | modular network / Self-Organizing Map / mnSOM / dynamical system / BVP neuron model |
Paper # | NLP2004-72,NC2004-88 |
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Conference Information | |
Committee | NLP |
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Conference Date | 2004/11/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Representing the bifurcation structure of BVP neuron model onto a self-organising map by using modular network SOM (mnSOM) |
Sub Title (in English) | |
Keyword(1) | modular network |
Keyword(2) | Self-Organizing Map |
Keyword(3) | mnSOM |
Keyword(4) | dynamical system |
Keyword(5) | BVP neuron model |
1st Author's Name | Syuji KANEKO |
1st Author's Affiliation | Department of Brain Science and Engineering, Kyushu Institute of Technology() |
2nd Author's Name | Syozo YASUI |
2nd Author's Affiliation | Department of Brain Science and Engineering, Kyushu Institute of Technology |
3rd Author's Name | Tetsuo FURUKAWA |
3rd Author's Affiliation | Department of Brain Science and Engineering, Kyushu Institute of Technology |
Date | 2004/11/19 |
Paper # | NLP2004-72,NC2004-88 |
Volume (vol) | vol.104 |
Number (no) | 471 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |