Amoeba-based nonequilibrium neurocomputer utilizing fluctuations and instability

Masashi Aono, Masahiko Hara

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

24 Citations (Scopus)

Abstract

We employ a photosensitive amoeboid cell known as a model organism for studying cellular information processing, and construct an experimental system for exploring the amoeba's processing ability of information on environmental light stimuli. The system enables to examine the amoeba's solvability of various problems imposed by an optical feedback, as the feedback is implemented with a neural network algorithm. We discovered that the amoeba solves the problems by positively exploiting fluctuations and instability of its components. Thus, our system works as a neurocomputer having flexible properties. The elucidation of the amoeba's dynamics may lead to the development of unconventional computing devices based on nonequilibrium media to utilize fluctuations and instability.

Original languageEnglish
Title of host publicationUnconventional Computation - 6th International Conference, UC 2007, Proceedings
Pages41-54
Number of pages14
Volume4618 LNCS
Publication statusPublished - 2007
Externally publishedYes
Event6th International Conference on Unconventional Computation, UC 2007 - Kingston, ON, Canada
Duration: 2007 Aug 132007 Aug 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4618 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Unconventional Computation, UC 2007
CountryCanada
CityKingston, ON
Period07/8/1307/8/17

Fingerprint

Non-equilibrium
Fluctuations
Optical feedback
Optical Feedback
Network Algorithms
Neural networks
Information Processing
Feedback
Solvability
Processing
Neural Networks
Computing
Cell
Model

Keywords

  • Bottom-up technology
  • Chaos
  • Optimization
  • Physarum

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Aono, M., & Hara, M. (2007). Amoeba-based nonequilibrium neurocomputer utilizing fluctuations and instability. In Unconventional Computation - 6th International Conference, UC 2007, Proceedings (Vol. 4618 LNCS, pp. 41-54). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4618 LNCS).

Amoeba-based nonequilibrium neurocomputer utilizing fluctuations and instability. / Aono, Masashi; Hara, Masahiko.

Unconventional Computation - 6th International Conference, UC 2007, Proceedings. Vol. 4618 LNCS 2007. p. 41-54 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4618 LNCS).

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

Aono, M & Hara, M 2007, Amoeba-based nonequilibrium neurocomputer utilizing fluctuations and instability. in Unconventional Computation - 6th International Conference, UC 2007, Proceedings. vol. 4618 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4618 LNCS, pp. 41-54, 6th International Conference on Unconventional Computation, UC 2007, Kingston, ON, Canada, 07/8/13.
Aono M, Hara M. Amoeba-based nonequilibrium neurocomputer utilizing fluctuations and instability. In Unconventional Computation - 6th International Conference, UC 2007, Proceedings. Vol. 4618 LNCS. 2007. p. 41-54. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Aono, Masashi ; Hara, Masahiko. / Amoeba-based nonequilibrium neurocomputer utilizing fluctuations and instability. Unconventional Computation - 6th International Conference, UC 2007, Proceedings. Vol. 4618 LNCS 2007. pp. 41-54 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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