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Simulation of Neurocomputing Based on Photophobic Reactions of Euglena: Toward Microbe–Based Neural Network Computing

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Unconventional Computation (UC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5715))

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Abstract

In order to develop an adaptive computing system, we investigate microscopic optical feedback to a group of microbes (Euglena gracilis in this study) with a neural network algorithm, expecting that the unique characteristics of microbes, especially their strategies to survive/adapt against unfavorable environmental stimuli, will explicitly determine the temporal evolution of the microbe-based feedback system. The photophobic reactions of Euglena are extracted from experiments, and built in the Monte-Carlo simulation of a microbe-based neurocomputing. The simulation revealed a good performance of Euglena-based neurocomputing. Dynamic transition among the solutions is discussed from the viewpoint of feedback instability.

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Authors and Affiliations

  1. RIKEN (The Institute of Physical and Chemical Research), 2-1 Hirosawa, Wako, Saitama, 351-0198, Japan

    Kazunari Ozasa, Masashi Aono, Mizuo Maeda & Masahiko Hara

Authors
  1. Kazunari Ozasa
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  2. Masashi Aono
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  3. Mizuo Maeda
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  4. Masahiko Hara
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Editor information

Editors and Affiliations

  1. Department of Computer Science, The University of Auckland, Science Centre, 38 Princes, 1142, St., Auckland, New Zealand

    Cristian S. Calude

  2. Centro de Matemática e Aplicações Fundamentais do Complexo Interdisciplinar, University of Lisbon, Av. Gama Pinto, 1649-003, Lisboa, Portugal

    José Félix Costa

  3. School of Computer Science, Tel Aviv University, 69978, Ramat Aviv, Israel

    Nachum Dershowitz

  4. Department of Mathematics, University of Azores, Rua da Mãe de Deus, 9501-855, Ponta Delgada, Portugal

    Elisabete Freire

  5. Leiden Center of Advanced Computer Science (LIACS), Leiden University, Niels Bohrweg 1, 2333, Leiden, CA, The Netherlands

    Grzegorz Rozenberg

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Ozasa, K., Aono, M., Maeda, M., Hara, M. (2009). Simulation of Neurocomputing Based on Photophobic Reactions of Euglena: Toward Microbe–Based Neural Network Computing. In: Calude, C.S., Costa, J.F., Dershowitz, N., Freire, E., Rozenberg, G. (eds) Unconventional Computation. UC 2009. Lecture Notes in Computer Science, vol 5715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03745-0_24

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  • DOI: https://doi.org/10.1007/978-3-642-03745-0_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03744-3

  • Online ISBN: 978-3-642-03745-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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