000			03946nam a22005055i 4500
001			978-1-4939-3267-2
003			DE-He213
005			20180206183109.0
007			cr nn 008mamaa
008			151230s2016 xxu| s |||| 0|eng d
020			_a9781493932672 _9978-1-4939-3267-2
050		4	_aRC321-580
072		7	_aPSAN _2bicssc
072		7	_aMED057000 _2bisacsh
082	0	4	_a612.8 _223
245	1	0	_aNeuromechanical Modeling of Posture and Locomotion _h[recurso electrónico] / _cedited by Boris I. Prilutsky, Donald H. Edwards.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2016.
300			_aXI, 368 p. 116 illus., 52 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_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			_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..
650		0	_aMedicine.
650		0	_aNeurosciences.
650		0	_aNeurobiology.
650		0	_aNeural networks (Computer science).
650	1	4	_aBiomedicine.
650	2	4	_aNeurosciences.
650	2	4	_aMathematical Models of Cognitive Processes and Neural Networks.
650	2	4	_aNeurobiology.
700	1		_aPrilutsky, Boris I. _eeditor.
700	1		_aEdwards, Donald H. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781493932665
830		0	_aSpringer Series in Computational Neuroscience, _x2197-1900
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-1-4939-3267-2
912			_aZDB-2-SBL
942			_cLIBRO_ELEC
999			_c227304 _d227304