| Threshold control of chaotic neural network. | |
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MedLine Citation:
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PMID: 18178377 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The chaotic neural network constructed with chaotic neurons exhibits rich dynamic behaviour with a nonperiodic associative memory. In the chaotic neural network, however, it is difficult to distinguish the stored patterns in the output patterns because of the chaotic state of the network. In order to apply the nonperiodic associative memory into information search, pattern recognition etc. it is necessary to control chaos in the chaotic neural network. We have studied the chaotic neural network with threshold activated coupling, which provides a controlled network with associative memory dynamics. The network converges to one of its stored patterns or/and reverse patterns which has the smallest Hamming distance from the initial state of the network. The range of the threshold applied to control the neurons in the network depends on the noise level in the initial pattern and decreases with the increase of noise. The chaos control in the chaotic neural network by threshold activated coupling at varying time interval provides controlled output patterns with different temporal periods which depend upon the control parameters. |
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Authors:
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Guoguang He; Manish Dev Shrimali; Kazuyuki Aihara |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2007-12-08 |
Journal Detail:
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Title: Neural networks : the official journal of the International Neural Network Society Volume: 21 ISSN: 0893-6080 ISO Abbreviation: Neural Netw Publication Date: 2008 Mar-Apr |
Date Detail:
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Created Date: 2008-03-17 Completed Date: 2008-07-10 Revised Date: 2008-08-15 |
Medline Journal Info:
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Nlm Unique ID: 8805018 Medline TA: Neural Netw Country: United States |
Other Details:
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Languages: eng Pagination: 114-21 Citation Subset: IM |
Affiliation:
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Aihara Complexity Modelling Project, ERATO, JST, Tokyo 153-8505, Japan. gghe@zju.edu.cn |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Computer Simulation Models, Neurological* Nerve Net / physiology Neural Networks (Computer)* Neurons / physiology* Nonlinear Dynamics* |
| Comments/Corrections | |
Erratum In:
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Neural Netw. 2008 May;21(4):698 |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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