9780444642332-0444642331-Mathematical Modelling in Motor Neuroscience: State of the Art and Translation to the Clinic. Ocular Motor Plant and Gaze Stabilization Mechanisms (Volume 248) (Progress in Brain Research, Volume 248)

Mathematical Modelling in Motor Neuroscience: State of the Art and Translation to the Clinic. Ocular Motor Plant and Gaze Stabilization Mechanisms (Volume 248) (Progress in Brain Research, Volume 248)

ISBN-13: 9780444642332
ISBN-10: 0444642331
Edition: 1
Author: R. John Leigh, Stefano Ramat, Aasef G. Shaikh
Publication date: 2019
Publisher: Academic Press
Format: Hardcover 366 pages
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Book details

ISBN-13: 9780444642332
ISBN-10: 0444642331
Edition: 1
Author: R. John Leigh, Stefano Ramat, Aasef G. Shaikh
Publication date: 2019
Publisher: Academic Press
Format: Hardcover 366 pages

Summary

Mathematical Modelling in Motor Neuroscience: State of the Art and Translation to the Clinic. Ocular Motor Plant and Gaze Stabilization Mechanisms (Volume 248) (Progress in Brain Research, Volume 248) (ISBN-13: 9780444642332 and ISBN-10: 0444642331), written by authors R. John Leigh, Stefano Ramat, Aasef G. Shaikh, was published by Academic Press in 2019. With an overall rating of 4.1 stars, it's a notable title among other books. You can easily purchase or rent Mathematical Modelling in Motor Neuroscience: State of the Art and Translation to the Clinic. Ocular Motor Plant and Gaze Stabilization Mechanisms (Volume 248) (Progress in Brain Research, Volume 248) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Mathematical Modelling in Motor Neuroscience: State of the Art and Translation to the Clinic. Ocular Motor Plant and Gaze Stabilization Mechanisms, Volume 248, the latest release in the Progress in Brain Research series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of topics, including Mathematical modeling in clinical and basic motor neuroscience, The math of medicine - the computational lessons learned from the human disease, Mathematical models - an extension of the clinician's mind, From differential equation to linear control systems: the study of the VOR, Closed lop and nonlinear systems, State-space equations and learning, Integrators and optimal control, and much more. Provides the authority and expertise of leading contributors from an international board of authorsPresents the latest release in the Progress in Brain Research seriesIncludes the latest information on mathematical modeling in motor neuroscience
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