Singular-continuous nowhere-differentiable attractors in neural systems

Tsuda, I.; Yamaguchi, A.

Hokkaido University Preprint Series in Mathematics, 1996, 360, 1-24

Permalink : https://doi.org/10.14943/83506

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アクセス権	open access
DOI	https://doi.org/10.14943/83506
URI	https://hdl.handle.net/2115/69110
タイトル	Singular-continuous nowhere-differentiable attractors in neural systems
著者	著者名 Tsuda, I.
著者	著者名 Yamaguchi, A.
言語	英語
キーワード	Singular-continuous nowhere-differentiable attractors
	Chaos-driven contraction dynamics
	Information processings on Cantor set
	Dimension gap
発行日	1996-11-01
出版者	Department of Mathematics, Hokkaido University
収録物名	Hokkaido University Preprint Series in Mathematics
巻(号)	360
ページ	1-24
抄録	We present a neural model for a singular-continuous nowhere-differentiable (SCND) attractors. This model shows various characteristics originated in attractor's nowheredifferentiability, in spite of a differentiable dynamical system. SCND attractors are still unfamiliar in the neural network studies and have not yet been observed in both artificial and biological neural systems. vVith numerical calculations of various kinds of statistical quantities in artificial neural network, dynamical characters of SCND attractors are strongly suggested to be observed also in neural systems experiments. vVe also present possible information processings with these attractors.
資源タイプ	紀要論文
出版タイプ	Version of Record