Prospective control of manual interceptive actions: comparative simulations of extant and new model constructs

  • Authors:

  • Joost C. Dessing;Daniel Bullock;C. (Lieke) E. Peper;Peter J. Beek

  • Affiliations:

  • Institute for Fundamental and Clinical Human Movement Sciences, Amsterdam/Nijmegen, The Netherlands and Faculty of Human Movement Sciences, Vrije Universiteit, Van der Boechorststraat 9, 1081 BT, ...;Department of Cognitive and Neural Systems, Center for Adaptive Systems, Boston University, Boston, MA;Institute for Fundamental and Clinical Human Movement Sciences, Amsterdam/Nijmegen, The Netherlands and Faculty of Human Movement Sciences, Vrije Universiteit, Van der Boechorststraat 9, 1081 BT, ...;Institute for Fundamental and Clinical Human Movement Sciences, Amsterdam/Nijmegen, The Netherlands and Faculty of Human Movement Sciences, Vrije Universiteit, Van der Boechorststraat 9, 1081 BT, ...

  • Venue:
  • Neural Networks
  • Year:
  • 2002

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Abstract

Two prospective controllers of hand movements in catching--both based on required velocity control--were simulated. Under certain conditions, this required velocity control led to overshoots of the future interception point. These overshoots were absent in pertinent experiments.To remedy this shortcoming, the required velocity model was reformulated in terms of a neural network, the Vector Integration To Endpoint model, to create a Required Velocity Integration To Endpoint model. Addition of a parallel relative velocity channel, resulting in the Relative and Required Velocity Integration To Endpoint model, provided a better account for the experimentally observed kinematics than the existing, purely behavioral models. Simulations of reaching to intercept decelerating and accelerating objects in the presence of background motion were performed to make distinct predictions for future experiments.