| タイトル |
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en
Toward an interpretation of dynamic neural activity in terms of chaotic dynamical systems
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| 作成者 |
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| アクセス権 |
open access |
| 権利情報 |
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en
Copyright © 2001 Cambridge University Press
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| 主題 |
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Other
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Cantor coding
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Other
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chaotic itinerancy
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Other
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dynamic aspects of the brain
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Other
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dynamic associative memory
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Other
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episodic memory
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Other
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high-dimensional dynamical systems
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Other
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SCND attractors
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NDC
421.5
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| 内容注記 |
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Abstract
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Using the concepts of chaotic dynamical systems, we present an interpretation of dynamic neural activity found in cortical and subcortical areas. The discovery of chaotic itinerancy in high-dimensional dynamical systems with and without a noise term has motivated a new interpretation of this dynamic neural activity, cast in terms of the high-dimensional transitory dynamics among “exotic” attractors. This interpretation is quite different from the conventional one, cast in terms of simple behavior on low-dimensional attractors. Skarda and Freeman (1987) presented evidence in support of the conclusion that animals cannot memorize odor without chaotic activity of neuron populations. Following their work, we study the role of chaotic dynamics in biological information processing, perception, and memory. We propose a new coding scheme of information in chaos-driven contracting systems we refer to as Cantor coding. Since these systems are found in the hippocampal formation and also in the olfactory system, the proposed coding scheme should be of biological significance. Based on these intensive studies, a hypothesis regarding the formation of episodic memory is given.
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| 日付 |
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| 言語 |
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| 資源タイプ |
journal article |
| 出版タイプ |
VoR |
| 資源識別子 |
HDL
http://hdl.handle.net/2115/6084
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| 関連 |
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isIdenticalTo
DOI
https://doi.org/10.1017/S0140525X01000097
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replaces
DOI
https://doi.org/10.14943/83639
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| 収録誌情報 |
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en
Cambridge University Press
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巻24
開始ページ793
終了ページ810
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| ファイル |
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| コンテンツ更新日時 |
2023-07-26 |
