Neuromechanical Modeling Of Posture And Locomotion (springer Series In Computational Neuroscience)
by Boris I. Prilutsky /
2015 / English / PDF
17.3 MB Download
Neuromechanics is a new, quickly growing field of neuroscience
research that merges neurophysiology, biomechanics and motor
control and aims at understanding living systems and their elements
through interactions between their neural and mechanical dynamic
properties. Although research in Neuromechanics is not limited by
computational approaches, neuromechanical modeling is a powerful
tool that allows for integration of massive knowledge gained in the
past several decades in organization of motion related brain and
spinal cord activity, various body sensors and reflex pathways,
muscle mechanical and physiological properties and detailed
quantitative morphology of musculoskeletal systems. Recent work in
neuromechanical modeling has demonstrated advantages of such an
integrative approach and led to discoveries of new emergent
properties of neuromechanical systems. Neuromechanical Modeling of
Posture and Locomotion will cover a wide range of topics from
theoretical studies linking the organization of reflex pathways and
central pattern generating circuits with morphology and mechanics
of the musculoskeletal system (Burkholder; Nichols; Shevtsova et
al.) to detailed neuromechanical models of postural and locomotor
control (Bunderson; Edwards, Marking et al., Ting). Furthermore,
uniquely diverse modeling approaches will be presented in
the book including a theoretical dynamic analysis of locomotor
phase transitions (Spardy and Rubin), a hybrid computational
modeling that allows for in vivo interactions between parts of a
living organism and a computer model (Edwards et al.), a physical
neuromechanical model of the human locomotor system (Lewis), and
others.
Neuromechanics is a new, quickly growing field of neuroscience
research that merges neurophysiology, biomechanics and motor
control and aims at understanding living systems and their elements
through interactions between their neural and mechanical dynamic
properties. Although research in Neuromechanics is not limited by
computational approaches, neuromechanical modeling is a powerful
tool that allows for integration of massive knowledge gained in the
past several decades in organization of motion related brain and
spinal cord activity, various body sensors and reflex pathways,
muscle mechanical and physiological properties and detailed
quantitative morphology of musculoskeletal systems. Recent work in
neuromechanical modeling has demonstrated advantages of such an
integrative approach and led to discoveries of new emergent
properties of neuromechanical systems. Neuromechanical Modeling of
Posture and Locomotion will cover a wide range of topics from
theoretical studies linking the organization of reflex pathways and
central pattern generating circuits with morphology and mechanics
of the musculoskeletal system (Burkholder; Nichols; Shevtsova et
al.) to detailed neuromechanical models of postural and locomotor
control (Bunderson; Edwards, Marking et al., Ting). Furthermore,
uniquely diverse modeling approaches will be presented in
the book including a theoretical dynamic analysis of locomotor
phase transitions (Spardy and Rubin), a hybrid computational
modeling that allows for in vivo interactions between parts of a
living organism and a computer model (Edwards et al.), a physical
neuromechanical model of the human locomotor system (Lewis), and
others.