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001404322 1001_ $$aSchiff, Steven J.
001404322 24510 $$aNeural control engineering :$$bthe emerging intersection between control theory and neuroscience /$$cSteven J. Schiff.
001404322 260__ $$aCambridge, MA :$$bMIT Press,$$c2012.
001404322 300__ $$a1 online resource (xvi, 361 pages) :$$billustrations (some color).
001404322 336__ $$atext$$btxt$$2rdacontent
001404322 337__ $$acomputer$$bc$$2rdamedia
001404322 338__ $$aonline resource$$bcr$$2rdacarrier
001404322 4901_ $$aComputational neuroscience series
001404322 506__ $$aAccess limited to authorized users.
001404322 520__ $$aHow 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.
001404322 588__ $$aOCLC-licensed vendor bibliographic record.
001404322 650_0 $$aComputational neuroscience.
001404322 650_0 $$aNonlinear control theory.
001404322 653__ $$aNEUROSCIENCE/General
001404322 655_0 $$aElectronic books
001404322 852__ $$bebk$$hProQuest Ebook Central Academic Complete
001404322 85640 $$3ProQuest Ebook Central Academic Complete$$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=3339541$$zOnline Access
001404322 85642 $$3OCLC metadata license agreement$$uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
001404322 909CO $$ooai:library.usi.edu:461345$$pGLOBAL_SET
001404322 980__ $$aBIB
001404322 980__ $$aEBOOK
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001404322 983__ $$aOnline