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

  • Kazunari Ozasa
  • Masashi Aono
  • Mizuo Maeda
  • Masahiko Hara
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5715)

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.

Keywords

Microbe Euglena gracilis Feedback instability Neural network Oscillation Neurocomputing simulation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kazunari Ozasa
    • 1
  • Masashi Aono
    • 1
  • Mizuo Maeda
    • 1
  • Masahiko Hara
    • 1
  1. 1.RIKEN (The Institute of Physical and Chemical Research)SaitamaJapan

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