Simulation of neurocomputing based on the photophobic reactions of Euglena with optical feedback stimulation

Kazunari Ozasa, Masashi Aono, Mizuo Maeda, Masahiko Hara

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


To explore possible forms of unconventional computers that have high capacities for adaptation and exploration, we propose a new approach to developing a biocomputer based on the photophobic reactions of microbes (Euglena gracilis), and perform the Monte-Carlo simulation of Euglena-based neural network computing, involving virtual optical feedback to the Euglena cells. The photophobic reactions of Euglena are obtained experimentally, and incorporated in the simulation, together with a feedback algorithm with a modified Hopfield-Tank model for solving a 4-city traveling salesman problem. The simulation shows high performances in terms of (1) reaching one of the best solutions of the problem, and (2) searching for a number of solutions via dynamic transition among the solutions. This dynamic transition is attributed to the fluctuation of state variables, global oscillation through feedback instability, and the one-by-one change of state variables.

Original languageEnglish
Pages (from-to)101-107
Number of pages7
Issue number2
Publication statusPublished - 2010 May
Externally publishedYes


  • Biocomputing
  • Euglena gracilis
  • Fluctuation
  • Microbe
  • Neural network
  • Photophobic reactions

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Applied Mathematics


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