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    MATLAB for Neuroscientists: An Introduction to Scientific Computing in MATLAB

    €88.75
    Offers an introduction to Matlab[registered], the standard for scientific computing, written specifically for students and researchers in neuroscience and related fields. This book serves as the comprehensive study manual and teaching resource for the use of Matlab in the neurosciences and psychology.
    ISBN: 9780123838360
    AuthorWallisch, Pascal (New York University, N
    SubAuthor1Lusignan, Michael E. (The University of
    SubAuthor2Benayoun, Marc D. (The University of Chi
    SubAuthor3Baker, Tanya I. (The Salk Institute for
    SubAuthor4Dickey, Adam Seth (The University of Chi
    Pub Date27/11/2013
    BindingHardback
    Pages570
    AvailabilityCurrently out of stock. If available, delivery is usually 5-10 working days.
    Edition2nd ed
    Availability: Out of Stock

    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.

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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.