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- W2332170497 abstract "We consider a two layered neural network in which the second layer is composed of simple pulse-coupled neuronal oscillators connected by excitatory and inhibitory lateral interaction weights. For storing information' a self-organizing learning algorithm with respect to the amplitude of the neuronal oscillators is introduced. The dynarnical behavior and the retrieval ability of information of this model are analyzed. Computer simulation shows that the learning can enhance the coherent characteristic of the neuronal activities and the dynamical behaviors of this model in pattern recognition are similar to the dynarnical process in biological neural system and perform information retrieval property to stored patterns." @default.
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- W2332170497 date "2000-07-30" @default.
- W2332170497 modified "2023-10-14" @default.
- W2332170497 title "A Neural Network Model with Self-organizing Pulse-Coupled Oscillator" @default.
- W2332170497 doi "https://doi.org/10.1088/0253-6102/34/1/63" @default.
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