Neuromechanical Modeling of Posture and Locomotion

For over a century, research has yielded enormous amounts of quantitative information about animal motor systems. Yet our understanding of neural control mechanisms of animal balance and locomotion remains cursory and fragmented. This book aims to change that. This is the first book on neuromechanic...

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Bibliographic Details
Other Authors: Prilutsky, Boris I. (Editor), Edwards, Donald H. (Editor)
Format: eBook
Language:English
Published: New York, NY Springer New York 2016, 2016
Edition:1st ed. 2016
Series:Springer Series in Computational Neuroscience
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Preface
  • Better science through predictive modeling: Numerical tools for understanding neuromechanical interactions
  • A neuromechanical model of spinal control of locomotion
  • Neural regulation of limb mechanics: Insights from the organization of proprioceptive circuits
  • Model-based approaches to understanding musculoskeletal filtering of neural signals
  • Modeling the organization of spinal cord neural circuits controlling two-joint muscles
  • Muscles: non-linear transformers of motor neuron activity
  • Why is neuromechanical modeling of balance and locomotion so hard?
  • Neuromusculoskeletal modeling for the adaptive control of posture during locomotion
  • Model-based interpretations of experimental data related to the control of balance during stance and gait in humans
  • Computing motion dependent afferent activity during cat locomotion using a forward dynamics musculoskeletal model
  • Modeling and optimality analysis of pectoral fin locomotion
  • Control of cat walking and paw-shakeby a multifunctional central pattern generator