How Animals Understand the Meaning of Indefinite Information from Environments? : Complex Dynamics in Nonlinear Systems
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概要
- 論文の詳細を見る
Animals, including human beings, have ability to understand the meaning of indefinite information from environments. Thanks to this ability the animals have flexibility in their behaviors for the environmental changes. Starting from a hypothesis that understanding of the input (Shannonian) information is based on the self-organization of a neuronal representation, that is, a spatio-temporal pattern constituted of coherent activities of neurons encoding a "figure", being separated from the "background" encoded by incoherent activities, the conditions necessary for the understanding of indefinite information were discussed. The crucial conditions revealed are that the neuronal system is incomplete or indefinite in a sense that its rules for the self-organization of the neuronal activities are completed only after the input of the environmental information and that it has an additional system named "self" specific to relevantly self-organize dynamical "constraints" or "boundary conditions" for the self-organization of the representation. For the simultaneous self-organizations of the relevant constraints and the representation, a global circulation of activities must be self-organized between these two kinds of neuronal systems. Moreover, for the performance of these functions, a specific kind of synergetic elements, "holon elements" are also necessary. By means of a neuronal model, the visual perception of indefinite input signals is demonstrated. The results obtained are consistent with those recently observed in the visual cortex of cats.
- 理論物理学刊行会の論文
- 1990-03-28
著者
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清水 博
東大
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SHIMIZU Hiroshi
Faculty of Pharmaceutical Sciences, University of Tokyo
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YAMAGUCHI Yoko
Faculty of Pharmaceutical Sciences, University of Tokyo
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Yamaguchi Y
Univ. Tokyo Tokyo Jpn
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Yamaguchi Yoko
Faculty Of Pharmaceutical Sciences University Of Tokyo
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Shimizu Hiroshi
Faculty Of Environmental Information Keio University
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