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Cortical Models for Movement Control

  • Chapter
Plausible Neural Networks for Biological Modelling

Part of the book series: Mathematical Modelling: Theory and Applications ((MMTA,volume 13))

Abstract

Plausible models of voluntary movement generation in humans must satisfy stringent data constraints arising from neuroanatomical, neurophysiological, biomechanical and psychophysical observations. Abundant evidence of all four types indicates that the desired kinematics of reaching movements are computed on—the—fly, in a way that maximizes the ability to respond to revised goals or to late—arriving information regarding such variables as target location, tool orientation, obstacles, loads on limb segments, or effects of fatigue on muscle function. Flexible response to such variables requires a highly differentiated neural circuit structure and a correspondingly large inventory of functionally distinct cell types. Extensive computer simulation studies demonstrate that vector integration to endpoint (VITE) models provide a natural basis for explaining how neuronal circuits of the cerebral cortex and the associated inventory of cell types interact with subcortical circuits and the arm to enable on—the—fly composition of goal—directed reaching movements.

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Authors and Affiliations

  1. Cognitive & Neural Systems Department Boston University, 677 Beacon Street, Boston, MA, 02215

    Daniel Bullock

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  1. Daniel Bullock
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Editors and Affiliations

  1. Department of Neurobiophysics and Biomedical Engineering, Physics Lab., University of Groningen, The Netherlands

    Henk A. K. Mastebroek

  2. Department of Developmental Neurology, Medical Physiology, University of Groningen, The Netherlands

    Johan E. Vos

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Bullock, D. (2001). Cortical Models for Movement Control. In: Mastebroek, H.A.K., Vos, J.E. (eds) Plausible Neural Networks for Biological Modelling. Mathematical Modelling: Theory and Applications, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0674-3_7

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  • DOI: https://doi.org/10.1007/978-94-010-0674-3_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3864-5

  • Online ISBN: 978-94-010-0674-3

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