Investigating the mechanisms related to motor adaptation

我们如何学会控制自己的行动，并预测我们的行为在新情况下的后果，这是非常有趣的。例如，当我们与站立位置的物体互动时，因为直立站立天生不稳定，大脑必须预测运动动作的结果，以确定平衡控制。举个例子，举起躺在桌子上的茶壶，需要很好地预测茶壶的重量，以准确地预测运动动作的后果。例如，如果大脑预测它是满的，但实际上它是空的，那么升空将比预期发生得更早，机械后果将不同，并可能导致身体摇摆。因此，一个关键的问题是了解大脑如何使用不同的感觉信息来使其运动指令适应不熟悉的环境。熟练的运动行为依赖于对我们自己的身体和我们与之交互的工具的准确预测模型。这项研究计划的主要目标是阐明控制运动适应的机制。

How we learn to control our movements and predict the consequences of our actions to novel situations is of great interest. For example, when we interact with objects in a standing position, because upright standing is inherently unstable, the brain must predict the consequence of the motor action to ascertain balance control. As a example, lifting up a teapot lying on a table, requires a good prediction of the weight of the teapot to accurately predict the consequences of the motor action. For instance, if the brain predicts that it is full but in reality it is empty, lift-off will take place earlier than predicted and the mechanical consequences will be different and likely lead to body sway. Consequently, a key question is to understand how the brain uses different sensory information to adapt its motor commands to unfamiliar contexts. Skilled motor behavior relies on accurate predictive models of both our own body and the tools we interact with. The main goal of this research program is to shed some lights on the mechanisms that govern motor adaptation.