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Designing and Implementing Nervous System Simulations on LEGO Robots

机译:在乐高机器人上设计和实现神经系统仿真

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摘要

We present a method to use the commercially available LEGO Mindstorms NXT robotics platform to test systems level neuroscience hypotheses. The first step of the method is to develop a nervous system simulation of specific reflexive behaviors of an appropriate model organism; here we use the American Lobster. Exteroceptive reflexes mediated by decussating (crossing) neural connections can explain an animal's taxis towards or away from a stimulus as described by Braitenberg and are particularly well suited for investigation using the NXT platform.1 The nervous system simulation is programmed using LabVIEW software on the LEGO Mindstorms platform. Once the nervous system is tuned properly, behavioral experiments are run on the robot and on the animal under identical environmental conditions. By controlling the sensory milieu experienced by the specimens, differences in behavioral outputs can be observed. These differences may point to specific deficiencies in the nervous system model and serve to inform the iteration of the model for the particular behavior under study. This method allows for the experimental manipulation of electronic nervous systems and serves as a way to explore neuroscience hypotheses specifically regarding the neurophysiological basis of simple innate reflexive behaviors. The LEGO Mindstorms NXT kit provides an affordable and efficient platform on which to test preliminary biomimetic robot control schemes. The approach is also well suited for the high school classroom to serve as the foundation for a hands-on inquiry-based biorobotics curriculum.
机译:我们提出一种使用市售LEGO Mindstorms NXT机器人平台来测试系统级神经科学假设的方法。该方法的第一步是开发对适当模型生物的特定反射行为的神经系统模拟。在这里,我们使用美国龙虾。讨论(交叉)的神经连接介导的躯体感觉反射可以解释动物的滑行朝向或远离刺激,如Braitenberg所述,特别适合使用NXT平台进行研究。 1 神经系统模拟是使用LEGO Mindstorms平台上的LabVIEW软件进行编程。一旦神经系统正确调整,就可以在相同的环境条件下在机器人和动物身上进行行为实验。通过控制标本所经历的感觉环境,可以观察到行为输出的差异。这些差异可能指向神经系统模型的特定缺陷,并有助于为正在研究的特定行为提供模型的迭代信息。这种方法允许对电子神经系统进行实验性操纵,并且是探索神经科学假设的一种方式,特别是关于简单先天反射行为的神经生理基础的神经科学假设。乐高Mindstorms NXT套件提供了一个负担得起且高效的平台,可以在其上测试初步的仿生机器人控制方案。该方法也非常适合高中教室用作基于动手询问的生物机器人学课程的基础。

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