Pascal Wallisch: MATLAB for Neuroscientists

Cover: 9780123838360 | MATLAB for Neuroscientists: An Introduction to Scientific Computing...

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Beschreibung

MATLAB 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 many 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. This book will aid researchers and students in achieving the fluency required to meet the computational needs of neuroscience practitioners.

Über den Autor

Pascal Wallisch received his PhD from the University of Chicago, did postdoctoral work at the Center for Neural Science at New York University, and currently serves as a clinical assistant professor of Psychology at New York University. His research interests are at the intersection of Psychology and Neuroscience, specifically Cognitive and Computational Neuroscience. His current work focuses on motion perception, autism and the appraisal of film.

Inhaltsverzeichnis

PrefacePart I: FundamentalsIntroductionTutorialPart II: Data Collection with MatlabVisual Search and Pop OutAttentionPsychophysicsSignal Detection Theory Part III: Data Analysis with MatlabFrequency Analysis Part IFrequency Analysis Part II: Non-stationary Signals and SpectrogramsWaveletsConvolutionIntroduction to Phase Plane AnalysisExploring the Fitzhugh-Nagumo ModelNeural Data Analysis: EncodingPrincipal Components AnalysisInformation TheoryNeural Decoding: Discrete variablesNeural Decoding: Continuous variablesFunctional Magnetic ImagingPart IV: Data Modeling with MatlabVoltage-Gated Ion ChannelsModels of a Single NeuronModels of the RetinaSimplified Models of Spiking NeuronsFitzhugh-Nagumo Model: Traveling WavesDecision TheoryMarkov ModelModeling Spike Trains as a Poisson ProcessSynaptic TransmissionNeural Networks: Unsupervised learningNeural Network: Supervised LearningAppendicesAppendix 1: Thinking in MatlabAppendix 2: Linear Algebra Review

Erscheinungsjahr:	2013
Fachbereich:	Andere Fachgebiete
Genre:	Medizin
Rubrik:	Wissenschaften
Medium:	Buch
ISBN-13:	9780123838360
ISBN-10:	0123838363
Sprache:	Englisch
Einband:	Gebunden
Autor:	Wallisch, Pascal Lusignan, Michael E Benayoun, Marc D Baker, Tanya I Dickey, Adam Seth Hatsopoulos, Nicholas G
Auflage:	2nd edition
Hersteller:	Elsevier Science
Maße:	238 x 191 x 32 mm
Von/Mit:	Pascal Wallisch (u. a.)
Erscheinungsdatum:	18.11.2013
Gewicht:	1,274 kg

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