Euglena-based neurocomputing with two-dimensional optical feedback on swimming cells in micro-aquariums

Kazunari Ozasa*, Jeesoo Lee, Simon Song, Masahiko Hara, Mizuo Maeda

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

We report on neurocomputing performed with real Euglena cells confined in micro-aquariums, on which two-dimensional optical feedback is applied using the Hopfield-Tank algorithm. Trace momentum, an index of swimming activity of Euglena cells, is used as the input/output signal for neurons in the neurocomputation. Feedback as blue-light illumination results in temporal changes in trace momentum according to the photophobic reactions of Euglena. Combinatorial optimization for a four-city traveling salesman problem is achieved with a high occupation ratio of the best solutions. Two characteristics of Euglena-based neurocomputing desirable for combinatorial optimization are elucidated: (1) attaining one of the best solutions to the problem, and (2) searching for a number of solutions via dynamic transition between the best solutions. Mechanisms responsible for the two characteristics are analyzed in terms of network energy, photoreaction ratio, and dynamics/statistics of Euglena movements. The spontaneous fluctuation in input/output signals and reduction in photoreaction ratio were found to be key factors in producing characteristic (1), while the photo-insensitive Euglena cells or the accidental evacuation of cells from non-illuminated areas causes characteristic (2). Furthermore, we show that the photophobic reactions of Euglena involves various survival strategies such as adaptation to blue-light or awakening from dormancy, which can extend the performance of Euglena-based neurocomputing toward deadlock avoidance or program-less adaptation. Finally, two approaches for achieving a high-speed Euglena-inspired Si-based computation are described.

Original languageEnglish (US)
Pages (from-to)527-538
Number of pages12
JournalApplied Soft Computing Journal
Volume13
Issue number1
DOIs
StatePublished - Jan 2013
Externally publishedYes

Keywords

  • Biocomputing
  • Euglena gracilis
  • Flagellate microbial cells
  • Micro-aquarium
  • Microbe-based neurocomputing
  • Microfluidic device
  • Natural computing
  • Neural network algorithm
  • Noise oscillator
  • Optical feedback
  • Phototaxis
  • Soft computing
  • Traveling salesman problem (TSP)

ASJC Scopus subject areas

  • Software

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