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_c103632 _d103632 _x1 |
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| 003 | DE-He213 | ||
| 005 | 20230102113139.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 150907s2015 xxk| s |||| 0|eng d | ||
| 020 | _a9781447167471 | ||
| 024 | 7 |
_a10.1007/978-1-4471-6747-1 _2doi |
|
| 040 |
_bspa _dES-MaUEC |
||
| 050 | 4 |
_aQP303 _b.V35 2016 EB |
|
| 100 | 1 |
_aValero-Cuevas, Francisco J. _eautor _9668363 |
|
| 245 | 1 | 0 |
_aFundamentals of Neuromechanics _cby Francisco J. Valero-Cuevas |
| 264 | 1 |
_aLondon _bSpringer International Publishing _c2016 |
|
| 300 | _a1 recurso en línea (XXIV, 194 páginas 65 ilustraciones) | ||
| 336 |
_2rdacontent _aTexto (visual) _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 490 | 0 |
_aBiosystems & Biorobotics _x2195-3562 ; _v8 |
|
| 490 | 0 | _aEngineering (Springer-11647) | |
| 520 | 3 | _aThis book provides a conceptual and computational framework to study how the nervous system exploits the anatomical properties of limbs to produce mechanical function. The study of the neural control of limbs has historically emphasized the use of optimization to find solutions to the muscle redundancy problem. That is, how does the nervous system select a specific muscle coordination pattern when the many muscles of a limb allow for multiple solutions? I revisit this problem from the emerging perspective of neuromechanics that emphasizes finding and implementing families of feasible solutions, instead of a single and unique optimal solution. Those families of feasible solutions emerge naturally from the interactions among the feasible neural commands, anatomy of the limb, and constraints of the task. Such alternative perspective to the neural control of limb function is not only biologically plausible, but sheds light on the most central tenets and debates in the fields of neural control, robotics, rehabilitation, and brain-body co-evolutionary adaptations. This perspective developed from courses I taught to engineers and life scientists at Cornell University and the University of Southern California, and is made possible by combining fundamental concepts from mechanics, anatomy, mathematics, robotics and neuroscience with advances in the field of computational geometry. Fundamentals of Neuromechanics is intended for neuroscientists, roboticists, engineers, physicians, evolutionary biologists, athletes, and physical and occupational therapists seeking to advance their understanding of neuromechanics. Therefore, the tone is decidedly pedagogical, engaging, integrative, and practical to make it accessible to people coming from a broad spectrum of disciplines. I attempt to tread the line between making the mathematical exposition accessible to life scientists, and convey the wonder and complexity of neuroscience to engineers and computational scientists. While no one approach can hope to definitively resolve the important questions in these related fields, I hope to provide you with the fundamental background and tools to allow you to contribute to the emerging field of neuromechanics. | |
| 650 | 7 |
_2embne _aBiomecánica _9143819 |
|
| 776 | 0 | 8 |
_iEdición impresa: _z9781447167464 |
| 776 | 0 | 8 |
_iEdición impresa: _z9781447167488 |
| 776 | 0 | 8 |
_iEdición impresa: _z9781447170891 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4471-6747-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b04/2019 _dz _ea _zSI |
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