Moving in time: a neural network model of rhythm-based motor sequence performance
Many complex actions are precomposed, by sequencing simpler motor actions. For such a complex action to be executed accurately, those simpler actions must be planned in the desired order, held in working memory, and then enacted one-by-one until the sequence is complete. Examples of this phenomenon...
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| Language: | en_US |
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2019
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| Online Access: | https://hdl.handle.net/2144/37992 |