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Brian-based device having a cerebellar model for predictive motor control

机译:基于Brian的设备,具有用于预测性运动控制的小脑模型

摘要

A mobile brain-based device (BBD) includes a mobile platform with sensors and effects, which is guided by a simulated nervous system that is an analogue of the cerebellar areas of the brain used for predictive motor control to determine interaction with a real-world environment. The simulated nervous system has neural areas including precerebellum nuclei (PN), Purkinje cells (PC), deep cerebellar nuclei (DCN) and an inferior olive (IO) for predicting turn and velocity control of the BBD during movement in a real-world environment. The BBD undergoes training and testing, and the simulated nervous system learns and performs control functions, based on a delayed eligibility trace learning rule.
机译:基于移动大脑的设备(BBD)包括带有传感器和效果的移动平台,该平台由模拟神经系统引导,该模拟神经系统类似于用于预测运动控制以确定与现实世界互动的大脑小脑区的模拟物环境。模拟的神经系统具有神经区域,包括小脑前核(PN),浦肯野细胞(PC),小脑深核(DCN)和下橄榄(IO),用于预测现实环境中移动过程中BBD的转弯和速度控制。 BBD经过培训和测试,模拟的神经系统根据延迟的资格跟踪学习规则来学习并执行控制功能。

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