Simulation of neurocomputing based on the photophobic reactions of Euglena with optical feedback stimulation

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• 作者：Kazunari Ozasa ; Masashi Aono ; Mizuo Maeda ; Masahiko Hara
• 关键词：Microbe ; Euglena gracilis ; Neural network ; Fluctuation ; Biocomputing ; Photophobic reactions
• 刊名：Biosystems
• 出版年：2010
• 出版时间：May 2010
• 年：2010
• 卷：100
• 期：2
• 页码：101-107
• 全文大小：1211 K

文摘

To explore possible forms of unconventional computers that have high capacities for adaptation and exploration, we propose a new approach to developing a biocomputer based on the photophobic reactions of microbes (Euglena gracilis), and perform the Monte-Carlo simulation of Euglena-based neural network computing, involving virtual optical feedback to the Euglena cells. The photophobic reactions of Euglena are obtained experimentally, and incorporated in the simulation, together with a feedback algorithm with a modified Hopfield–Tank model for solving a 4-city traveling salesman problem. The simulation shows high performances in terms of (1) reaching one of the best solutions of the problem, and (2) searching for a number of solutions via dynamic transition among the solutions. This dynamic transition is attributed to the fluctuation of state variables, global oscillation through feedback instability, and the one-by-one change of state variables.