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首页> 外文期刊>Frontiers in Bioengineering and Biotechnology >Braitenberg Vehicles as Computational Tools for Research in Neuroscience
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Braitenberg Vehicles as Computational Tools for Research in Neuroscience

机译:Braiaenberg车辆作为神经科学研究的计算工具

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摘要

Valentino Braitenberg reported his seminal thought experiment in 1984 using reactive automatons or vehicles with relatively simple sensorimotor connections as models for seemingly complex cognitive processes in biological brains. Braitenberg’s work, meant as a metaphor for biological life encompassed a deep knowledge of and served as an analogy for the multitude of neural processes and pathways that underlie animal behaviour, suggesting that seemingly complex behaviour may arise from relatively simple designs. Braitenberg vehicles have been adopted in robotics and artificial life research for sensor-driven navigation behaviours in robots such as localising sound and chemical sources, orienting towards or away from current flow under water etc. The neuroscience community has benefitted from applying Braitenberg’s bottom-up approach towards understanding analogous neural mechanisms underpinning his models of animal behaviour. We present a summary of the latest studies of Braitenberg vehicles for bio-inspired navigation and relate the results to experimental findings on the neural basis of navigation behaviour in animals. Based on these studies, we motivate the important role of Braitenberg vehicles as computational tools to inform research in behavioural neuroscience.
机译:Valentino Braitenberg在1984年报告了他的精彩思想实验,使用了具有相对简单的传感器连接作为生物大脑中看似复杂的认知过程的模型。 Braiaenberg的工作意味着作为生物生命的隐喻,包括深刻的知识,并作为大量神经过程和潜在的动物行为的途径,表明看似复杂的行为可能来自相对简单的设计。 Braiaenberg车辆已经采用了机器人和人工生命研究,用于传感器驱动的机器人,例如定位声音和化学源,朝向或远离水下的流量等。神经科学界已经有益于施工Braitenberg的自下而上的方法朝着理解基于他的动物行为模型的类似神经机制。我们概述了Bioenberg车辆的最新研究,用于生物启发导航,并将结果与​​动物导航行为中的神经基础相关的结果。基于这些研究,我们激励了Braiaenberg车辆作为计算工具,以便在行为神经科学研究的工具中的重要作用。

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