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• W2113197445 endingPage "433" @default.
• W2113197445 startingPage "426" @default.
• W2113197445 abstract "In biological cognition, specialized representations and associated control processes solve the temporal problems inherent in skilled action. Recent data and neural circuit models highlight three distinct levels of temporal structure: sequence preparation, velocity scaling, and state-sensitive timing. Short sequences of actions are prepared collectively in prefrontal cortex, then queued for performance by a cyclic competitive process that operates on a parallel analog representation. Successful acts like ball-catching depend on coordinated scaling of effector velocities, and velocity scaling, mediated by the basal ganglia, may be coupled to perceived time-to-contact. Making acts accurate at high speeds requires state-sensitive and precisely timed activations of muscle forces in patterns that accelerate and decelerate the effectors. The cerebellum may provide a maximally efficient representational basis for learning to generate such timed activation patterns." @default.
• W2113197445 created "2016-06-24" @default.
• W2113197445 creator A5042282723 @default.
• W2113197445 date "2004-09-01" @default.
• W2113197445 modified "2023-09-23" @default.
• W2113197445 title "Adaptive neural models of queuing and timing in fluent action" @default.
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• W2113197445 doi "https://doi.org/10.1016/j.tics.2004.07.003" @default.
• W2113197445 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15350244" @default.
• W2113197445 hasPublicationYear "2004" @default.
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