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Phase Oscillatory Network and Visual Pattern Recognition

delete2015-07-01
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DOI:10.1109/TNNLS.2014.2345572delete
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Abstract

Abstract

En 中文
We explore a properly interconnected set of Kuramoto type oscillators that results in a new associative-memory network configuration, which includes second-and third-order additional terms in the Fourier expansion of the network's coupling. Investigation of the response of the network to different external stimuli indicates an increase in the network capability for coding and information retrieval. Comparison of the network output with that of an equivalent experiment with subjects, for recognizing perturbed binary patterns, shows comparable results between the two approaches. We also discuss the enhanced storage capacity of the network.
Keywords:
Associative memory
information processing
phase oscillator
synchronization
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Journal

IEEE Transactions on Neural Networks and Learning Systems cover
IEEE Transactions on Neural Networks and Learning Systems
IF:
8.9
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7.6K
Citations:
7.2W

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illinois state university
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instituto nacional de pesquisas espaciais (inpe)
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universidade de sao paulo
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