Resource-Competing Oscillator Network as a Model of Amoeba-Based Neurocomputer

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 a...

• Type: Conference
• Year: 2009
• Where: UC
• Authors: Masashi Aono, Yoshito Hirata, Masahiko Hara, Kazuyuki Aihara
• Keywords: Applied Computing, Complex Behavior, Simple Behavior, Spatiotemporal Oscillatory Behavior, UC 2009