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估计运动误差的来源

Estimating the Sources of Motor Errors
课程网址: http://videolectures.net/nipsworkshops09_kording_esme/  
主讲教师: Konrad Körding
开课单位: 西北大学
开课时间: 2010-01-19
课程语种: 英语
中文简介:
运动适应通常被定义为我们的神经系统产生精确运动的过程,同时我们的身体和环境的特性不断变化。许多实验和理论研究通过假设神经系统使用内部模型来补偿运动误差来表征这一过程。在这里,我们扩展这些方法并构建概率模型,不仅可以补偿运动误差,还可以估算这些误差的来源。这些估计决定了神经系统应该如何推广。例如,肢体属性的估计变化将影响整个工作空间的运动,但不影响与另一肢体的运动。我们扩展了该领域的先前研究,以解释时间和背景效应。这个扩展模型解释了节约的各个方面以及概括方面。
课程简介: Motor adaptation is usually defined as the process by which our nervous system produces accurate movements while the properties of our bodies and our environment continuously change. Many experimental and theoretical studies have characterized this process by assuming that the nervous system uses internal models to compensate for motor errors. Here we extend these approaches and construct a probabilistic model that not only compensates for motor errors but estimates the sources of these errors. These estimates dictate how the nervous system should generalize. For example, estimated changes of limb properties will affect movements across the workspace but not movements with the other limb. We extend previous studies in that area to account for temporal and context effects. This extended model explains aspects of savings along with aspects of generalization.
关 键 词: 运动适应; 神经系统; 概率模型
课程来源: 视频讲座网
最后编审: 2019-09-07:lxf
阅读次数: 58