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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...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Springer Series in Computational Neuroscience,
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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-shake by a multifunctional central pattern generator.