Simulation of Neurocomputing Based on Photophobic Reactions of Euglena: Toward Microbe-Based Neural Network Computing
Simulation of Neurocomputing Based on Photophobic Reactions of Euglena: Toward Microbe-Based Neural Network Computing
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DOI：
10.1007/978-3-642-03745-0_24
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发表时间：
2009-09
期刊：
影响因子：
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通讯作者：
K. Ozasa;M. Aono;M. Maeda;M. Hara
中科院分区：
文献类型：
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作者：
K. Ozasa;M. Aono;M. Maeda;M. Hara
为了开发一种自适应计算系统，我们利用神经网络算法研究了一组微生物（Euglena gracilisin）的微观光学反馈，期望微生物的独特特征，特别是它们对不利环境刺激的生存/适应策略，将明确地决定基于微生物的反馈系统的时间进化。feuglenen的疏光反应是从实验中提取出来的，并建立在基于微生物的神经计算的蒙特卡罗模拟中。仿真结果表明，基于feuglene的神经计算具有良好的性能。从反馈不稳定性的角度讨论了解之间的动态过渡问题。
In order to develop an adaptive computing system, we investigate microscopic optical feedback to a group of microbes (Euglena gracilisin this study) with a neural network algorithm, expecting that the unique characteristics of microbes, especially their strategies to survive/adapt against unfavorable environmental stimuli, will explicitly determine the temporal evolution of the microbe-based feedback system. The photophobic reactions ofEuglenaare extracted from experiments, and built in the Monte-Carlo simulation of a microbe-based neurocomputing. The simulation revealed a good performance ofEuglena-based neurocomputing. Dynamic transition among the solutions is discussed from the viewpoint of feedback instability.