Search

この論文は国立情報学研究所の電子図書館事業により電子化されました。

この論文は国立情報学研究所の電子図書館事業により電子化されました。, 研究会報告

この論文は国立情報学研究所の電子図書館事業により電子化されました。, ポスター

この論文は国立情報学研究所の電子図書館事業により電子化されました。

この論文は国立情報学研究所の電子図書館事業により電子化されました。

We present a perception model of ambiguous patterns based on the chaotic neural network and investigate the characteristics through computer simulations. The results induced by the chaotic activity are similar to those of psychophysical experiments and it is difficult for the stochastic activity to reproduce them in the same simple framework. Our demonstration suggests functional usefulness of the chaotic activity in perceptual systems even at higher cognitive levels. The perceptual alternation may be an inherent feature built in the chaotic neuron assembly., Comment: 10 pages, 9 figures, to be published in Neural Processing Letters

We set up a signal-driven scheme of the chaotic neural network with the coupling constants corresponding to certain information, and investigate the stochastic resonance-like effects under its deterministic dynamics, comparing with the conventional case of Hopfield network with stochastic noise. It is shown that the chaotic neural network can enhance weak subthreshold signals and have higher coherence abilities between stimulus and response than those attained by the conventional stochastic model., Comment: 9 pages, 5 figures, to be published in Neural Processing Letters