The Computational Neurobiology of Reaching and Pointing

The Computational Neurobiology of Reaching and Pointing
Author :
Publisher : MIT Press
Total Pages : 608
Release :
ISBN-10 : 0262195089
ISBN-13 : 9780262195089
Rating : 4/5 (89 Downloads)

Book Synopsis The Computational Neurobiology of Reaching and Pointing by : Reza Shadmehr

Download or read book The Computational Neurobiology of Reaching and Pointing written by Reza Shadmehr and published by MIT Press. This book was released on 2004-10-28 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the computational biology of reaching and pointing, with an emphasis on motor learning. Neuroscience involves the study of the nervous system, and its topics range from genetics to inferential reasoning. At its heart, however, lies a search for understanding how the environment affects the nervous system and how the nervous system, in turn, empowers us to interact with and alter our environment. This empowerment requires motor learning. The Computational Neurobiology of Reaching and Pointing addresses the neural mechanisms of one important form of motor learning. The authors integrate material from the computational, behavioral, and neural sciences of motor control that is not available in any other single source. The result is a unified, comprehensive model of reaching and pointing. The book is intended to be used as a text by graduate students in both neuroscience and bioengineering and as a reference source by experts in neuroscience, robotics, and other disciplines. The book begins with an overview of the evolution, anatomy, and physiology of the motor system, including the mechanisms for generating force and maintaining limb stability. The sections that follow, "Computing Locations and Displacements", "Skills, Adaptations, and Trajectories", and "Predictions, Decisions, and Flexibility", present a theory of sensorially guided reaching and pointing that evolves organically based on computational principles rather than a traditional structure-by-structure approach. The book also includes five appendixes that provide brief refreshers on fundamentals of biology, mathematics, physics, and neurophysiology, as well as a glossary of relevant terms. The authors have also made supplemental materials available on the Internet. These web documents provide source code for simulations, step-by-step derivations of certain mathematical formulations, and expanded explanations of some concepts.


The Computational Neurobiology of Reaching and Pointing Related Books

The Computational Neurobiology of Reaching and Pointing
Language: en
Pages: 608
Authors: Reza Shadmehr
Categories: Medical
Type: BOOK - Published: 2004-10-28 - Publisher: MIT Press

DOWNLOAD EBOOK

An introduction to the computational biology of reaching and pointing, with an emphasis on motor learning. Neuroscience involves the study of the nervous system
Fundamentals of Computational Neuroscience
Language: en
Pages: 417
Authors: Thomas Trappenberg
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher: Oxford University Press

DOWNLOAD EBOOK

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it int
Neural Engineering
Language: en
Pages: 384
Authors: Chris Eliasmith
Categories: Computers
Type: BOOK - Published: 2003 - Publisher: MIT Press

DOWNLOAD EBOOK

A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.
Computational Neuroscience
Language: en
Pages: 142
Authors: Hanspeter A Mallot
Categories: Technology & Engineering
Type: BOOK - Published: 2013-05-23 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding
Biophysics of Computation
Language: en
Pages: 587
Authors: Christof Koch
Categories: Medical
Type: BOOK - Published: 2004-10-28 - Publisher: Oxford University Press

DOWNLOAD EBOOK

Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature