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

Masashi Aono, Yoshito Hirata, Masahiko Hara, Kazuyuki Aihara

研究成果: Conference contribution

9 被引用数 (Scopus)


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.

ホスト出版物のタイトルUnconventional Computation - 8th International Conference, UC 2009, Proceedings
出版ステータスPublished - 2009
イベント8th International Conference on Unconventional Computation, UC 2009 - Ponta Delgada, Portugal
継続期間: 2009 9月 72009 9月 11


名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5715 LNCS


Other8th International Conference on Unconventional Computation, UC 2009
CityPonta Delgada

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般


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