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dc.contributor.authorBullock, D.en_US
dc.contributor.authorBongers, R. M.en_US
dc.contributor.authorLankhorst, M.en_US
dc.contributor.authorBeek, P. J.en_US
dc.date.accessioned2011-11-14T18:25:17Z
dc.date.available2011-11-14T18:25:17Z
dc.date.issued1997-08
dc.identifier.urihttp://hdl.handle.net/2144/2125
dc.description.abstractViapoint (VP) movements are movements to a desired point that are constrained to pass through an intermediate point. Studies have shown that VP movements possess properties, such as smooth curvature around the VP, that are not explicable by treating VP movements as strict concatenations of simpler point-to-point (PTP) movements. Such properties have led some theorists to propose whole-trajectory optimization models, which imply that the entire trajectory is pre-computed before movement initiation. This paper reports new experiments conducted to systematically compare VP with PTP trajectories. Analyses revealed a statistically significant early directional deviation in VP movements but no associated curvature change. An explanation of this effect is offered by extending the Vector-Integration-To-Endpoint (VITE) model (Bullock and Grossberg, 1988), which postulates that voluntary movement trajectories emerge as internal gating signals control the integration of continuously computed vector commands based on the evolving, perceptible difference between desired and actual position variables. The model explains the observed trajectories of VP and PTP movements as emergent properties of a dynamical system that does not precompute entire trajectories before movement initiation. The new model includes a working memory and a stage sensitive to time-to-contact information. These cooperate to control serial performance. The structural and functional relationships proposed in the model are consistent with available data on forebrain physiology and anatomy.en_US
dc.description.sponsorshipOffice of Naval Research (N00014-92-J-1309, N00014-93-1-1364, N0014-95-1-0409)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-1997-013en_US
dc.rightsCopyright 1997 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.subjectNeural networksen_US
dc.subjectViapoint movementsen_US
dc.subjectTrajectory generationen_US
dc.subjectVector integration to endpointen_US
dc.subjectWorking memoryen_US
dc.subjectTime-to-contacten_US
dc.subjectPerception-action cycleen_US
dc.subjectDynamical systemsen_US
dc.titleA Vector-Integration-to-Endpoint Model for Performance of Viapoint Movementsen_US
dc.typeTechnical Reporten_US
dc.rights.holderBoston University Trusteesen_US


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