Literature DB >> 10562524

Animal movement, mechanical tuning and coupled systems.

T L Daniel1, M S Tu.   

Abstract

Over the past two decades, there has been a growing interest in developing predictive models of animal movement and force generation in fluids. In a departure from past studies that have asked how prescribed motions of a propulsor (wing or fin) generate lift and thrust during swimming and flying, we are increasingly interested in predicting the propulsor's movement as well as the forces generated by it. This interest, motivated by a need to understand the control and dynamics of locomotion and its applications to robotics and animal physiology, requires that we develop integrative models and analyses of swimming and flying that incorporate neural control and muscle physiology into more traditional biomechanical studies of locomotion in fluids. This approach extends from whole-animal studies to the molecular basis of force generation. In this paper, we explore mechanical tuning from the level of the whole animal to the proteins driving force generation in muscle.

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Year:  1999        PMID: 10562524     DOI: 10.1242/jeb.202.23.3415

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  3 in total

1.  A spatially explicit model of muscle contraction explains a relationship between activation phase, power and ATP utilization in insect flight.

Authors:  Bertrand C W Tanner; Michael Regnier; Thomas L Daniel
Journal:  J Exp Biol       Date:  2008-01       Impact factor: 3.312

2.  Shifts in a single muscle's control potential of body dynamics are determined by mechanical feedback.

Authors:  Simon Sponberg; Thomas Libby; Chris H Mullens; Robert J Full
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-05-27       Impact factor: 6.237

3.  A single muscle's multifunctional control potential of body dynamics for postural control and running.

Authors:  Simon Sponberg; Andrew J Spence; Chris H Mullens; Robert J Full
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-05-27       Impact factor: 6.237

  3 in total

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