Estimating the sources of motor errors for adaptation and generalization.

Estimating the sources of motor errors for adaptation and generalization.
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DOI:
10.1038/nn.2229
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发表时间:
2008-12
影响因子:
25
通讯作者:
Kording, Konrad
Kording, Konrad
中科院分区:
医学1区
文献类型:
--
作者:
Berniker, Max;Kording, Konrad

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运动适应通常被定义为当我们的身体和环境的特性不断变化时,我们的神经系统产生准确运动的过程。许多实验和理论研究都假设神经系统使用内部模型来补偿运动错误,从而描述了这一过程。在这里,我们扩展这些方法,并构建一个概率模型,不仅补偿电机的错误,但估计这些错误的来源。这些估计决定了神经系统应该如何进行概括。例如,肢体属性的估计变化将影响跨工作空间的移动,但不影响与另一肢体的移动。我们提供的证据表明,许多运动泛化现象出现的策略,神经系统估计我们的运动错误的来源。
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. Numerous 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 provide evidence that many movement generalization phenomena emerge from a strategy by which the nervous system estimates the sources of our motor errors.
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