A Vector-Integration-to-Endpoint Model for Performance of Viapoint Movements

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dc.contributor.author Bullock, D. en_US
dc.contributor.author Bongers, R.M. en_US
dc.contributor.author Lankhorst, M. en_US
dc.contributor.author Beek, P.J. en_US
dc.date.accessioned 2011-11-14T18:25:17Z
dc.date.available 2011-11-14T18:25:17Z
dc.date.issued 1997-08 en_US
dc.identifier.uri http://hdl.handle.net/2144/2125
dc.description.abstract Viapoint (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.sponsorship Office of Naval Research (N00014-92-J-1309, N00014-93-1-1364, N0014-95-1-0409) 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-1997-013 en_US
dc.rights Copyright 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.subject Neural networks en_US
dc.subject Viapoint movements en_US
dc.subject Trajectory generation en_US
dc.subject Vector integration to endpoint en_US
dc.subject Working memory en_US
dc.subject Time to contact en_US
dc.subject Perception-action cycle en_US
dc.subject Dynamical systems en_US
dc.title A Vector-Integration-to-Endpoint Model for Performance of Viapoint Movements en_US
dc.type Technical Report en_US
dc.rights.holder Boston University Trustees en_US

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