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Learning tidal waves versus learning sensorimotor mappings
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DOI：10.1017/S0140525X97401437.png)
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Abstract
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The sequence-in/sequence-out cerebellar machinery is considered from the computational point of view. We outline a learning framework which discriminates short-term from long-term learning and is able to explain single-trial adaptation to unexpected loads.
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