Amoeba-based Computing using SpatioTemporal Oscillatory Dynamics of True Slime Mold

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A single-celled amoeboid organism, the true slime mold Physarum polycephalum, exhibits sophisticated information processing capabilities such as learning environmental information and solving complex optimization problems. These distributed processing capabilities emerge from self-organized spatiotemporal oscillatory dynamics of autonomously oscillating actin-myosin systems. In this study, constructing a bio-computer which applies light stimuli in response to spontaneous behaviors of the organism, I analyzed how the spatiotemporal dynamics produce the information processing capabilities and derived a mathematical model which reproduces well the emergent processes. Moreover, I focused on some analogies between the spatiotemporal dynamics of the organism and that of optical near-field interactions in quantum dots, and applied for a patent on a solution search system which uses the quantum dots for searching for solutions to one of the most complex combinatorial optimization problems, the Boolean satisfiability problem.