Li Mingxu, Deng Xin, Wang Jin, Chen Qiaosong, Tang Yun
a Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications , Chongqing , China.
Bioengineered. 2016 Jul 3;7(4):253-60. doi: 10.1080/21655979.2016.1197709.
ASBTRACT This research aims at modeling the thermotaxis behavior of C.elegans which is a kind of nematode with full clarified neuronal connections. Firstly, this work establishes the motion model which can perform the undulatory locomotion with turning behavior. Secondly, the thermotaxis behavior is modeled by nonlinear functions and the nonlinear functions are learned by artificial neural network. Once the artificial neural networks have been well trained, they can perform the desired thermotaxis behavior. Last, several testing simulations are carried out to verify the effectiveness of the model for thermotaxis behavior. This work also analyzes the different performances of the model under different environments. The testing results reveal the essence of the thermotaxis of C.elegans to some extent, and theoretically support the research on the navigation of the crawling robots.
摘要 本研究旨在对秀丽隐杆线虫的趋温行为进行建模，秀丽隐杆线虫是一种神经元连接完全明确的线虫。首先，这项工作建立了能够执行带有转向行为的波动运动的运动模型。其次，用非线性函数对趋温行为进行建模，并通过人工神经网络学习非线性函数。一旦人工神经网络得到良好训练，它们就能执行所需的趋温行为。最后，进行了几次测试模拟以验证该趋温行为模型的有效性。这项工作还分析了该模型在不同环境下的不同性能。测试结果在一定程度上揭示了秀丽隐杆线虫趋温的本质，并从理论上支持了对爬行机器人导航的研究。
