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    Jacob Rinaldi.
    This thesis is composed of experimental and analytic work deconstructing the cerebellar learning algorithm. The central finding is that two parallel neural circuits, with independent instructive signals, support cerebellum-dependent learning. An analytic framework for this result, based on overcoming signal-dependent noise, is proposed.
    Digital Access   2012