Show Reference: "Bayesian integration in sensorimotor learning"

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Körding and Wolpert let subjects reach for some target without seeing their own hand.

In some of the trials, subjects were given visual feedback of varying reliability of their hand position briefly, halfway through the trial. In such trials where the visual feedback was clear, subjects were also given clear feedback of their hand position at the end of the trial.

The visual feedback in the middle of the trial was displayed by an amount which was distributed according to a Gaussian distribution with a mean of 1cm, or, in a second experiment, according to a bi-modal distribution.

Körding and Wolpert showed that their subjects correctly learned the distribution of displacement of the visual feedback wrt. the actual position of their hand and used it in the task consistent with a Bayesian cue integration model.