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Learning and Production of Movement Sequences: Behavioral, Neurophysiological, and Modeling Perspectives

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dc.contributor.author Rhodes, Bradley en_US
dc.contributor.author Bullock, Daniel en_US
dc.contributor.author Verwey, Willem en_US
dc.contributor.author Averbeck, Bruno en_US
dc.contributor.author Page, Michael en_US
dc.date.accessioned 2011-11-14T18:15:30Z
dc.date.available 2011-11-14T18:15:30Z
dc.date.issued 2003-12 en_US
dc.identifier.uri http://hdl.handle.net/2144/1921
dc.description.abstract A growing wave of behavioral studies, using a wide variety of paradigms that were introduced or greatly refined in recent years, has generated a new wealth of parametric observations about serial order behavior. What was a mere trickle of neurophysiological studies has grown to a more steady stream of probes of neural sites and mechanisms underlying sequential behavior. Moreover, simulation models of serial behavior generation have begun to open a channel to link cellular dynamics with cognitive and behavioral dynamics. Here we summarize the major results from prominent sequence learning and performance tasks, namely immediate serial recall, typing, 2XN, discrete sequence production, and serial reaction time. These populate a continuum from higher to lower degrees of internal control of sequential organization. The main movement classes covered are speech and keypressing, both involving small amplitude movements that are very amenable to parametric study. A brief synopsis of classes of serial order models, vis-à-vis the detailing of major effects found in the behavioral data, leads to a focus on competitive queuing (CQ) models. Recently, the many behavioral predictive successes of CQ models have been joined by successful prediction of distinctively patterend electrophysiological recordings in prefrontal cortex, wherein parallel activation dynamics of multiple neural ensembles strikingly matches the parallel dynamics predicted by CQ theory. An extended CQ simulation model-the N-STREAMS neural network model-is then examined to highlight issues in ongoing attemptes to accomodate a broader range of behavioral and neurophysiological data within a CQ-consistent theory. Important contemporary issues such as the nature of working memory representations for sequential behavior, and the development and role of chunks in hierarchial control are prominent throughout. en_US
dc.description.sponsorship Defense Advanced Research Projects Agency/Office of Naval Research (N00014-95-1-0409); National Institute of Mental Health (R01 DC02852) en_US
dc.language.iso en_US en_US
dc.publisher Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems en_US
dc.relation.ispartofseries BU CAS/CNS Technical Reports;CAS/CNS-TR-2003-024 en_US
dc.rights Copyright 2003 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission. en_US
dc.subject Serial learning en_US
dc.subject Motor performance en_US
dc.subject Cognitive processes en_US
dc.subject Working memory en_US
dc.subject Computer simulations en_US
dc.subject Neural networks en_US
dc.subject Competitive queuing en_US
dc.subject Primacy en_US
dc.subject Prefrontal cortex en_US
dc.subject Cerebellum en_US
dc.subject Basal ganglia en_US
dc.title Learning and Production of Movement Sequences: Behavioral, Neurophysiological, and Modeling Perspectives en_US
dc.type Technical Report en_US
dc.rights.holder Boston University Trustees en_US


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