國立虎尾科技大學 |

Fundamentals of Neuromechanics

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Fundamentals of Neuromechanics/ by Francisco J. Valero-Cuevas.
Author:	Valero-Cuevas, Francisco J.
Description:	XXIV, 194 p. 65 illus.online resource. :
Contained By:	Springer Nature eBook
Subject:	Control engineering. -
Online resource:	https://doi.org/10.1007/978-1-4471-6747-1
ISBN:	9781447167471

Fundamentals of Neuromechanics
Valero-Cuevas, Francisco J.

Fundamentals of Neuromechanics[electronic resource] /by Francisco J. Valero-Cuevas. - 1st ed. 2016. - XXIV, 194 p. 65 illus.online resource. - Biosystems & Biorobotics,82195-3562 ;. - Biosystems & Biorobotics,11.

This 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.

ISBN: 9781447167471

Standard No.: 10.1007/978-1-4471-6747-1doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.8

Fundamentals of Neuromechanics
LDR:03607nam a22004215i 4500 001 982256
003 DE-He213
005 20200706210946.0
007 cr nn 008mamaa
008 201211s2016 xxk| s |||| 0|eng d
020 $a 9781447167471 $9 978-1-4471-6747-1
024 7 $a 10.1007/978-1-4471-6747-1 $2 doi
035 $a 978-1-4471-6747-1
050 4 $a TJ210.2-211.495
050 4 $a TJ163.12
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
072 7 $a TJFD $2 thema
082 0 4 $a 629.8 $2 23
100 1 $a Valero-Cuevas, Francisco J. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1102623
245 1 0 $a Fundamentals of Neuromechanics $h [electronic resource] / $c by Francisco J. Valero-Cuevas.
250 $a 1st ed. 2016.
264 1 $a London : $b Springer London : $b Imprint: Springer, $c 2016.
300 $a XXIV, 194 p. 65 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Biosystems & Biorobotics, $x 2195-3562 ; $v 8
520 $a This 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 0 $a Control engineering. $3 1249728
650 0 $a Robotics. $3 561941
650 0 $a Mechatronics. $3 559133
650 0 $a Computer simulation. $3 560190
650 0 $a Neurosciences. $3 593561
650 0 $a Bioinformatics . $3 1253897
650 0 $a Computational biology . $3 1253898
650 0 $a Algebraic geometry. $3 1255324
650 0 $a Evolutionary biology. $3 1199725
650 1 4 $a Control, Robotics, Mechatronics. $3 768396
650 2 4 $a Simulation and Modeling. $3 669249
650 2 4 $a Computer Appl. in Life Sciences. $3 593908
650 2 4 $a Algebraic Geometry. $3 670184
650 2 4 $a Evolutionary Biology. $3 668573
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781447167464
776 0 8 $i Printed edition: $z 9781447167488
776 0 8 $i Printed edition: $z 9781447170891
830 0 $a Biosystems & Biorobotics, $x 2195-3562 ; $v 11 $3 1262333
856 4 0 $u https://doi.org/10.1007/978-1-4471-6747-1
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)