000			04046cam a2200409Ki 4500
003			OCoLC
005			20220411124520.0
008			140530t20142014ne a b 001 0 eng
020			_a9780123838360 _qhardback
020			_a0123838363 _qhardback
035			_a(OCoLC)874093115 _z(OCoLC)859555841 _z(OCoLC)868961160
040			_aLCC _beng _cGSU _dGSU _erda
050	0	0	_aQP357.5 _b.M38 2014
082	0	0	_a612.8 _223
100			_aWallisch, Pascal; Lusignan, Michael E; Benayoun, Mare D; Baker, Tanya, I; Dickey, Adam S; Hatsopoulos, Nicholas G. _eauthors
245	0	0	_aMATLAB for neuroscientists : _ban introduction to scientific computing in MATLAB / _cPascal Wallisch [and five others].
250			_aSecond edition.
264		1	_aAmsterdam : _bAcademic Press, _c[2014]
264		4	_c©2014.
300			_axx, 550 pages : _billustrations (some color) ; _c24 cm.
336			_atext _btxt _2rdacontent.
336			_astill image _bsti _2rdacontent.
337			_aunmediated _bn _2rdamedia.
338			_avolume _bnc _2rdacarrier.
500			_aincludes index
504			_aIncludes bibliographical references and index.
505	0		_aMATLAB tutorial -- Mathematics and statistics tutorial -- Programming tutorial : principles and best practices -- Visualization and documentation tutorial -- Collecting reaction times I : visual search and pop out -- Collecting reaction times II : attention -- Psychophysics -- Psychophysics with GUIs -- Signal detection theory -- Frequency analysis part I : Fourier decomposition -- Frequency analysis part II : nonstationary signals and spectograms -- Wavelets -- Introduction to phase plane analysis -- Exploring the Figzhugh-Nagumo model -- Convolution -- Neural data analysis I : encoding -- Neural data analysis II : binned spike data -- Principal components analysis -- Information theory -- Neural decoding part I : discrete variables -- Neural decoding part II : continuous variables -- Local field potentials -- Functional magnetic imaging -- Voltage-gated ion channels -- Synaptic transmission -- Modeling a single neuron -- Models of the retina -- SImplified model of spiking neurons -- Fitzhugh-Nagumo model : traveling waves -- Decision theory lab -- Markov models -- Modeling spike trains as a Poisson process -- Exploring the Wilson-Cowan equations -- Neural networks as forest fires : stochastic neurodynamics -- Neural networks lab I : unsupervised learing -- Neural network lab II : supervised learning.
520			_aMATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for scientific computing, in the neurosciences and psychology. This unique introduction can be used to learn the entire empirical and experimental process (including stimulus generation, experimental control, data collection, data analysis, modeling, and more), and the 2nd Edition continues to ensure that a wide variety of computational problems can be addressed in a single programming environment. This updated edition features additional material on the creation of visual stimuli, advanced psychophysics, analysis of LFP data, choice probabilities, synchrony, and advanced spectral analysis. Users at a variety of levels-advanced undergraduates, beginning graduate students, and researchers looking to modernize their skills-will learn to design and implement their own analytical tools, and gain the fluency required to meet the computational needs of neuroscience practitioners.
630	0	0	_aMATLAB. _0http://id.loc.gov/authorities/names/n92036881.
650		0	_aNeurosciences _xData processing. _0http://id.loc.gov/authorities/subjects/sh2015002875.
650		0	_aNumerical analysis _xComputer programs. _0http://id.loc.gov/authorities/subjects/sh85093239.
650		0	_aComputer science _xMethodology.
650		0	_aNeurosciences. _0http://id.loc.gov/authorities/subjects/sh91006099.
700	1		_aWallisch, Pascal, _d1978- _eauthor. _0http://id.loc.gov/authorities/names/n2008182891.
942			_2lcc _cBK _n0
999			_c544 _d544