| 000 | 03907nam a22004095i 4500 | ||
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| 001 | 84452 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230207040424.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 151230s2016 xxu| s |||| 0|eng d | ||
| 020 | _a9781493932672 | ||
| 040 | _aES-MaUEC | ||
| 050 | 4 |
_aQP303 _b.N487 2016 |
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| 245 | 1 | 0 |
_aNeuromechanical Modeling of Posture and Locomotion _cedited by Boris I Prilutsky, Donald H Edwards |
| 250 | _a1st ed. | ||
| 260 |
_aNew York, NY _bSpringer New York _c2016 |
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| 300 |
_a1 recurso en línea (XI, 368 páginas) _b116 ilustraciones, 52 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aSpringer Series in Computational Neuroscience _x2197-1900 |
|
| 505 | 0 | _aPreface -- 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. | |
| 520 | 3 | _aFor 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 neuromechanical modeling, a tool that integrates the massive body of knowledge in computational models and complex motor behaviors to reveal the mechanisms by which these behaviors emerge. The majority of research groups working in this area have contributed chapters to this book. The book covers a wide range of topics from theoretical studies linking the organization of spinal reflex pathways and central pattern generating circuits with morphology and mechanics of the musculoskeletal system, to detailed neuromechanical models of balance and locomotor control, to analyses of nonlinear transformations of neural signals by the musculoskeletal system. This book can be used as an introductory guide to this new and exciting area of computational neuroscience research.��. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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_aMedicina _0comprobar BNE19900959047 _2embne _9405021 |
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_aNeurociencias _0comprobar BNE20012490612 _2embne _9158907 |
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_aNeurobiología _0comprobar BNE19900967574 _2embne _9139039 |
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| 700 | 1 |
_aPrilutsky, Boris I. _eeditor literario _996638 _0Local |
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| 700 | 1 |
_aEdwards, Donald H. _eeditor literario _996639 _0Local |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-1-4939-3267-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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