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dc.contributor.authorRhodes, Bradleyen_US
dc.contributor.authorBullock, Danielen_US
dc.contributor.authorVerwey, Willemen_US
dc.contributor.authorAverbeck, Brunoen_US
dc.contributor.authorPage, Michaelen_US
dc.date.accessioned2011-11-14T18:15:30Z
dc.date.available2011-11-14T18:15:30Z
dc.date.issued2003-12en_US
dc.identifier.urihttp://hdl.handle.net/2144/1921
dc.description.abstractA 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.sponsorshipDefense Advanced Research Projects Agency/Office of Naval Research (N00014-95-1-0409); National Institute of Mental Health (R01 DC02852)en_US
dc.language.isoen_USen_US
dc.publisherBoston University Center for Adaptive Systems and Department of Cognitive and Neural Systemsen_US
dc.relation.ispartofseriesBU CAS/CNS Technical Reports;CAS/CNS-TR-2003-024en_US
dc.rightsCopyright 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.subjectSerial learningen_US
dc.subjectMotor performanceen_US
dc.subjectCognitive processesen_US
dc.subjectWorking memoryen_US
dc.subjectComputer simulationsen_US
dc.subjectNeural networksen_US
dc.subjectCompetitive queuingen_US
dc.subjectPrimacyen_US
dc.subjectPrefrontal cortexen_US
dc.subjectCerebellumen_US
dc.subjectBasal gangliaen_US
dc.titleLearning and Production of Movement Sequences: Behavioral, Neurophysiological, and Modeling Perspectivesen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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