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E-raamat: MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB

(The University of Chica), (The Salk Institute for Biological Studies, La Jolla, CA, USA), (The University of Chicago, IL, USA), (The University of Chicago, IL, USA), (New York University, NY, USA), (The University of Chicago, IL, USA)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 09-Jan-2014
  • Kirjastus: Academic Press Inc
  • Keel: eng
  • ISBN-13: 9780123838377
  • Formaat - PDF+DRM
  • Hind: 66,68 €*
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 09-Jan-2014
  • Kirjastus: Academic Press Inc
  • Keel: eng
  • ISBN-13: 9780123838377

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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 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.

  • The first complete volume on MATLAB focusing on neuroscience and psychology applications
  • Problem-based approach with many examples from neuroscience and cognitive psychology using real data
  • Illustrated in full color throughout
  • Careful tutorial approach, by authors who are award-winning educators with strong teaching experience

Arvustused

"...a handy resource for instructors of neuroscience, particularly those interested in more intense data analysis and/or neural modeling. The book is clear, cogent, and systematic. It provides much more than the essential nuts-and-boltsit also leads the reader to learn to think about the empirical enterprise writ largeThis book should be given a privileged spot on the bookshelf of every teacher, student, and researcher in the behavioral and cognitive sciences." --Stephen M. Kosslyn, John Lindsley Professor of Psychology, Dean of Social Science, Harvard University, Cambridge, MA, USA

"This is an excellent book that should be on the desk of any neuroscientist or psychologist who wants to analyze and understand his or her own data by using MATLABSeveral books with MATLAB toolboxes exist; I find this one special both for its clarity and its focus on problems related to neuroscience and cognitive psychology." --Nikos Logothetis, Director, Max Planck Institute for Biological Cybernetics, Tübingen, Germany

"MATLAB for Neuroscientists provides a unique and relatively comprehensive introduction to the MATLAB programming language in the context of brain sciencesThe book would work well as a supplementary source for an introductory course in computational analysis and modeling in visual neuroscience, for graduate students or advanced undergraduates." --Eero P. Simoncelli, Investigator, Howard Hughes Medical Institute; Professor, Neural Science, Mathematics, and Psychology, New York University, New York, USA

Muu info

The only comprehensive software manual to serve as an introduction to programming in MATLAB, specifically tailored to neuroscientists and cognitive psychologists.
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
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.