Resource-competing oscillator network as a model of amoeba-based neurocomputer

Masashi Aono, Yoshito Hirata, Masahiko Hara, Kazuyuki Aihara

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

9 Citations (Scopus)

Abstract

An amoeboid organism, Physarum, exhibits rich spatiotemporal oscillatory behavior and various computational capabilities. Previously, the authors created a recurrent neurocomputer incorporating the amoeba as a computing substrate to solve optimization problems. In this paper, considering the amoeba to be a network of oscillators coupled such that they compete for constant amounts of resources, we present a model of the amoeba-based neurocomputer. The model generates a number of oscillation modes and produces not only simple behavior to stabilize a single mode but also complex behavior to spontaneously switch among different modes, which reproduces well the experimentally observed behavior of the amoeba. To explore the significance of the complex behavior, we set a test problem used to compare computational performances of the oscillation modes. The problem is a kind of optimization problem of how to allocate a limited amount of resource to oscillators such that conflicts among them can be minimized. We show that the complex behavior enables to attain a wider variety of solutions to the problem and produces better performances compared with the simple behavior.

Original languageEnglish
Title of host publicationUnconventional Computation - 8th International Conference, UC 2009, Proceedings
Pages56-69
Number of pages14
DOIs
Publication statusPublished - 2009 Nov 4
Externally publishedYes
Event8th International Conference on Unconventional Computation, UC 2009 - Ponta Delgada, Portugal
Duration: 2009 Sep 72009 Sep 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
CountryPortugal
CityPonta Delgada
Period09/9/709/9/11

Keywords

  • Amoeba-based Computing
  • Physarum
  • Resource Allocation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Aono, M., Hirata, Y., Hara, M., & Aihara, K. (2009). Resource-competing oscillator network as a model of amoeba-based neurocomputer. In Unconventional Computation - 8th International Conference, UC 2009, Proceedings (pp. 56-69). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5715 LNCS). https://doi.org/10.1007/978-3-642-03745-0_13