Neural Control Engineering: The Emerging Intersection Between Control Theory and Neuroscience (Computational Neuroscience),Used
Neural Control Engineering: The Emerging Intersection Between Control Theory and Neuroscience (Computational Neuroscience),Used

Neural Control Engineering: The Emerging Intersection Between Control Theory and Neuroscience (Computational Neuroscience),Used

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SKU: SONG0262015374
Brand: The MIT Press
$73.63
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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 modelbased 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 singlecell membranes to neuronal networks to largescale 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 environmentincluding some fundamentals of the algorithms helpful in crossing the divide from intuition to effective applicationSchiff examines a range of applications, including brainmachine 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 largescale 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.

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