Literature DB >> 11401453

Minimum Principles in Motor Control.

Sascha E. Engelbrecht1.   

Abstract

Minimum (or minimal) principles are mathematical laws that were first used in physics: Hamilton's principle and Fermat's principle of least time are two famous example. In the past decade, a number of motor control theories have been proposed that are formally of the same kind as the minimum principles of physics, and some of these have been quite successful at predicting motor performance in a variety of tasks. The present paper provides a comprehensive review of this work. Particular attention is given to the relation between minimum theories in motor control and those used in other disciplines. Other issues around which the review is organized include: (1) the relation between minimum principles and structural models of motor planning and motor control, (2) the empirically-driven development of minimum principles and the danger of circular theorizing, and (3) the design of critical tests for minimum theories. Some perspectives for future research are discussed in the concluding section of the paper. Copyright 2001 Academic Press.

Year:  2001        PMID: 11401453     DOI: 10.1006/jmps.2000.1295

Source DB:  PubMed          Journal:  J Math Psychol        ISSN: 0022-2496            Impact factor:   2.223


  33 in total

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5.  Trial-to-trial dynamics and learning in a generalized, redundant reaching task.

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6.  Reconstruction of the unknown optimization cost functions from experimental recordings during static multi-finger prehension.

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7.  Analytical and numerical analysis of inverse optimization problems: conditions of uniqueness and computational methods.

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Review 8.  Movement variability near goal equivalent manifolds: fluctuations, control, and model-based analysis.

Authors:  Joseph P Cusumano; Jonathan B Dingwell
Journal:  Hum Mov Sci       Date:  2013-11-07       Impact factor: 2.161

9.  An analytical approach to the problem of inverse optimization with additive objective functions: an application to human prehension.

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Journal:  J Math Biol       Date:  2009-11-10       Impact factor: 2.259

10.  Effects of grasping force magnitude on the coordination of digit forces in multi-finger prehension.

Authors:  Xun Niu; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Exp Brain Res       Date:  2009-01-13       Impact factor: 1.972

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