Neural Control Engineering

Neural Control Engineering
Author :
Publisher : MIT Press
Total Pages : 403
Release :
ISBN-13 : 9780262015370
ISBN-10 : 0262015374
Rating : 4/5 (74 Downloads)

Book Synopsis Neural Control Engineering by : Steven J. Schiff

Download or read book Neural Control Engineering written by Steven J. Schiff and published by MIT Press. This book was released on 2011-11-10 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications. Over the past sixty years, powerful methods of model-based control engineering have been responsible for such dramatic advances in engineering systems as autolanding aircraft, autonomous vehicles, and even weather forecasting. Over those same decades, our models of the nervous system have evolved from single-cell membranes to neuronal networks to large-scale models of the human brain. Yet until recently control theory was completely inapplicable to the types of nonlinear models being developed in neuroscience. The revolution in nonlinear control engineering in the late 1990s has made the intersection of control theory and neuroscience possible. In Neural Control Engineering, Steven Schiff seeks to bridge the two fields, examining the application of new methods in nonlinear control engineering to neuroscience. After presenting extensive material on formulating computational neuroscience models in a control environment—including some fundamentals of the algorithms helpful in crossing the divide from intuition to effective application—Schiff examines a range of applications, including brain-machine interfaces and neural stimulation. He reports on research that he and his colleagues have undertaken showing that nonlinear control theory methods can be applied to models of single cells, small neuronal networks, and large-scale networks in disease states of Parkinson's disease and epilepsy. With Neural Control Engineering the reader acquires a working knowledge of the fundamentals of control theory and computational neuroscience sufficient not only to understand the literature in this trandisciplinary area but also to begin working to advance the field. The book will serve as an essential guide for scientists in either biology or engineering and for physicians who wish to gain expertise in these areas.


Neural Control Engineering Related Books

Neural Control Engineering
Language: en
Pages: 403
Authors: Steven J. Schiff
Categories: Medical
Type: BOOK - Published: 2011-11-10 - Publisher: MIT Press

DOWNLOAD EBOOK

How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications. O
Neural Systems for Control
Language: en
Pages: 375
Authors: Omid Omidvar
Categories: Computers
Type: BOOK - Published: 1997-02-24 - Publisher: Elsevier

DOWNLOAD EBOOK

Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems f
Neural Control Engineering
Language: en
Pages: 403
Authors: Steven J. Schiff
Categories: Medical
Type: BOOK - Published: 2022-11-01 - Publisher: MIT Press

DOWNLOAD EBOOK

How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications. O
Neural Engineering
Language: en
Pages: 384
Authors: Chris Eliasmith
Categories: Bioinformatics
Type: BOOK - Published: 2003 - Publisher: MIT Press

DOWNLOAD EBOOK

A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems.
A First Course in Fuzzy and Neural Control
Language: en
Pages: 314
Authors: Hung T. Nguyen
Categories: Mathematics
Type: BOOK - Published: 2002-11-12 - Publisher: CRC Press

DOWNLOAD EBOOK

Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Mor