000			04384cam a2200421 i 4500
001			ocn822566746
003			OCoLC
005			20240726105323.0
008			121221s2012 maua ob 001 0 eng d
010			_z2010036051
040			_aNT _beng _epn _erda _cNT _dCDX _dOCLCO _dYDXCP _dE7B _dIDEBK _dOCLCF _dOCLCA _dOCLCQ _dNLGGC _dCUS _dOCLCQ _dWAU _dEBLCP _dCOO _dOCLCQ _dAZK _dOCLCO _dLOA _dOCLCA _dOCLCO _dAGLDB _dOCLCQ _dOCLCO _dOCLCO _dOCLCQ _dMOR _dPIFAG _dOCLCQ _dMERUC _dOCLCO _dOCLCQ _dZCU _dOCLCO _dSTF _dOCLCO _dU3W _dWRM _dVTS _dOCLCO _dNRAMU _dICG _dOCLCO _dINT _dVT2 _dOCLCO _dAU@ _dOCLCO _dOCLCQ _dMERER _dOCLCO _dCUY _dMITPR _dOCLCO _dWYU _dOCLCO _dOCLCA _dDKC _dOCLCO _dOCLCQ _dOCLCO _dM8D _dOCLCO _dUX1 _dCEF _dOCLCO _dOCLCQ _dOCLCA _dOCLCQ _dSFB _dUKCRE _dUKAHL _dAJS _dOCLCQ _dQGK _dOCLCO
020			_a9780262312080 _q((electronic)l(electronic)ctronic)
050	0	4	_aQP357 _b.N487 2012
049			_aMAIN
100	1		_aSchiff, Steven J. _e1
245	1	0	_aNeural control engineering : _bthe emerging intersection between control theory and neuroscience / _cSteven J. Schiff.
260			_aCambridge, MA : _bMIT Press, _c(c)2012.
300			_a1 online resource (xvi, 361 pages) : _billustrations (some color)
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_adata file _2rda
490	1		_aComputational neuroscience series
504			_a2
505	0	0	_aKalman fitering -- _tThe Hodgkin-Huxley equations -- _tSimplified neuronal models -- _tBridging from Kalman to neuron -- _tSpatiotemporal cortical dynamics : the Wilson Cowan equations -- _tEmpirical models -- _tModel inadequacy -- _tBrain machine interfaces -- _tParkinson's disease -- _tControl systems with electrical fields -- _tAssimilating seizures -- _tAssimilating minds.
520	0		_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.
530			_a2 _ub
650		0	_aComputational neuroscience.
650		0	_aNonlinear control theory.
650		0	_aNeural networks (Computer science)
650	1	2	_aNeural Networks, Computer
653			_aNEUROSCIENCE/General
655		1	_aElectronic Books.
856	4	0	_uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=512645&site=eds-live&custid=s3260518 _zClick to access digital title | log in using your CIU ID number and my.ciu.edu password
942			_cOB _D _eEB _hQP. _m(c)2012 _QOL _R _x _8NFIC _2LOC
994			_a92 _bNT
999			_c96421 _d96421
902			_a1 _bCynthia Snell _c1 _dCynthia Snell