Show Reference: "A sensory source for motor variation"

A sensory source for motor variation Nature, Vol. 437, No. 7057. (15 September 2005), pp. 412-416, doi:10.1038/nature03961 by Leslie C. Osborne, Stephen G. Lisberger, William Bialek
    abstract = {Suppose that the variability in our movements is caused not by noise in the motor system itself, nor by fluctuations in our intentions or plans, but rather by errors in our sensory estimates of the external parameters that define the appropriate action. For tasks in which precision is at a premium, performance would be optimal if no noise were added in movement planning and execution: motor output would be as accurate as possible given the quality of sensory inputs. Here we use visually guided smooth-pursuit eye movements in primates as a testing ground for this notion of optimality. In response to repeated presentations of identical target motions, nearly 92\% of the variance in eye trajectory can be accounted for as a consequence of errors in sensory estimates of the speed, direction and timing of target motion, plus a small background noise that is observed both during eye movements and during fixations. The magnitudes of the inferred sensory errors agree with the observed thresholds for sensory discrimination by perceptual systems, suggesting that the very different neural processes of perception and action are limited by the same sources of noise.},
    author = {Osborne, Leslie C. and Lisberger, Stephen G. and Bialek, William},
    day = {15},
    doi = {10.1038/nature03961},
    issn = {1476-4687},
    journal = {Nature},
    keywords = {motor, noise, sensory, sensory-motor},
    month = sep,
    number = {7057},
    pages = {412--416},
    pmcid = {PMC2551316},
    pmid = {16163357},
    posted-at = {2013-08-20 02:33:05},
    priority = {2},
    publisher = {Nature Publishing Group},
    title = {A sensory source for motor variation},
    url = {},
    volume = {437},
    year = {2005}

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Osborne et al. modeled performance of monkeys in a visual smooth pursuit task. According to their model, variability in this task is due mostly to estimation errors and not due to motor errors.