Simulation of neurocomputing based on photophobic reactions of euglena: Toward microbe-based neural network computing

Kazunari Ozasa, Masashi Aono, Mizuo Maeda, Masahiko Hara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationUnconventional Computation - 8th International Conference, UC 2009, Proceedings
Pages209-218
Number of pages10
DOIs
Publication statusPublished - 2009 Nov 4
Externally publishedYes
Event8th International Conference on Unconventional Computation, UC 2009 - Ponta Delgada, Portugal
Duration: 2009 Sept 72009 Sept 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5715 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th International Conference on Unconventional Computation, UC 2009
Country/TerritoryPortugal
CityPonta Delgada
Period09/9/709/9/11

Keywords

  • Euglena gracilis
  • Feedback instability
  • Microbe
  • Neural network
  • Neurocomputing simulation
  • Oscillation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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