@article{1404322,
      recid = {1404322},
      author = {Schiff, Steven J.},
      title = {Neural control engineering : the emerging intersection  between control theory and neuroscience /},
      publisher = {MIT Press,},
      address = {Cambridge, MA :},
      pages = {1 online resource (xvi, 361 pages) :},
      year = {2012},
      abstract = {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.},
      url = {http://library.usi.edu/record/1404322},
}