Does a Randomly Organized Electrical Circuit Function as a Neuronal System?
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概要
- 論文の詳細を見る
It is argued that a randomly fabricated electric circuit functions as an information processor. Indeed, the neuronal system of Caenorhabditis elegans (C. elegans) is a random network which processes various information for the survival of the worm. After properties of the connectivity of the neuronal system of the worm are reviewed to emphasize its randomness, it is confirmed that a network of resistors, which is topologically homologous to the neuronal network of C. elegans, can encode a decision table which is similar to the decision table of the native responses of the worm. Some structural properties, which are advantageous for the functioning of a random resistor network for an information processor, are discussed. In addition, it is suggested that a network of resistors with these propeties is a bundle of intertwisted wires connected by some resistive particles.
- INSTITUTE OF PURE AND APPLIED PHYSICSの論文
- 2001-03-30
著者
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OMATA Kazumi
"Research for the Future" Project, Faculty of Science and Technology, Keio University
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Osana Yuko
Department Of Electrical Engineering Faculty Of Science And Technology Keio University
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Oka Kotaro
Department Of Biosciences And Bioinformatics Faculty Of Science And Technology Keio University
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Oshio Ken-ichi
Department Of Materials Science Faculty Of Science Hiroshima University
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Funabashi Yasuhiro
Department Of Physics Faculty Of Science And Technology Keio University
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Morita Satoru
Department Of Cardiovascular Surgery National Hospital Organization Higashihiroshima Medical Center
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Oka Kotaro
Department of System Design, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
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Kawamura Kiyoshi
Department of Chemistry, Faculty of Science, Kyoto University
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Funabashi Yasuhiro
Department of Physics, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
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Omata Kazumi
"Research for the Future" Project, Faculty of Science and Technology, Keio University, Shin-Kawasaki-Mitsui Building West 3F, Kashimada, Saiwai-ku, Kawasaki 211-0958, Japan
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Oshio Ken-ichi
Department of Physiology, School of Medicine, Kinki University, Osaka-Sayama 589-8511, Japan
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Morita Satoru
Department of System Engineering, Faculty of Engineering, Shizuoka University, Johoku 3-5-1, Hamamatsu 432-8561, Japan
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