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Jeannerod, M. (1990). The representation of the goal of an action and its role in the control of goal-directed movements. In E. L. Schwartz (Ed.), Computational neuroscience. Cambridge, MA: mit Press, pp. 352-368.

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Partition Nets: An Efficient On-Line Learning Algorithm - MacDorman (1999)   (Correct)

....impulses travel. Human movement is highly resilient to environmental perturbations, with trajectory correction generally occurring in less than 100 ms. This suggests the presence of a learned sensorimotor mapping that compares visual, proprioceptive and motor signals to make openloop adjustments [18, 8, 9], see [4] for a computer model. Moreover, only learning can explain the accuracy of ballistic movements (e.g. hitting a hole in one at golf) since external feedback concerning the relative positions of projectile and goal comes only after control of the object has ceased. 1.2 Key features of ....

Jeannerod, M. (1990). The representation of the goal of an action and its role in the control of goal-directed movements. In E. L. Schwartz (Ed.), Computational neuroscience. Cambridge, MA: mit Press, pp. 352-368.


Partition Nets: An Efficient On-Line Learning Algorithm - MacDorman (1999)   (Correct)

....impulses travel. Human movement is highly resilient to environmental perturbations, with trajectory correction generally occurring in less than 100 ms. This suggests the presence of a learned sensorimotor mapping that compares visual, proprioceptive and motor signals to make openloop adjustments [18, 8, 9], see [4] for a computer model. Moreover, only learning can explain the accuracy of ballistic movements (e.g. hitting a hole in one at golf) since external feedback concerning the relative positions of projectile and goal comes only after control of the object has ceased. 1.2 Key features of ....

Jeannerod, M. (1990). The representation of the goal of an action and its role in the control of goal-directed movements. In E. L. Schwartz (Ed.), Computational neuroscience. Cambridge, MA: mit Press, pp. 352-368.

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