Neuromechanical Modeling of Posture and Locomotion /
| Autor Corporativo: | |
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| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| 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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| Materias: |
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.