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MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / Pascal Wallisch [and five others].

By: Wallisch, Pascal, 1978- [author.]Material type: TextTextPublisher: Amsterdam : Academic Press, [2014]Copyright date: ©2014Edition: Second editionDescription: 1 online resource (xx, 550 pages) : illustrations (some color)Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9780123838377; 0123838371; 9781306077842; 1306077842Subject(s): MATLAB | MATLAB | MATLAB | Neurosciences -- Data processing | Numerical analysis -- Computer programs | Computer science -- Methodology | Neurosciences | MEDICAL -- Physiology | SCIENCE -- Life Sciences -- Human Anatomy & Physiology | Neurosciences | Neurosciences -- Data processing | Numerical analysis -- Computer programsGenre/Form: Electronic books. | Electronic books. Additional physical formats: Print version:: MATLAB for neuroscientists.DDC classification: 571 | 612.8 LOC classification: QP357.5 | .M38 2014ebNLM classification: 2014 A-732 | WL 26.5Other classification: 44.90 | 44.32 | 44.90. | 44.32. Online resources: Click here to access online
Contents:
I. Fundamentals -- II. Data collection with MATLAB -- III. Data analysis with MATLAB -- IV. Data modeling with MATLAB.
MATLAB 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.
Summary: This title is an introduction to MATLAB, the current standard for scientific computing, written specifically for students and researchers in neuroscience and related fields. It serves as the first comprehensive study manual and teaching resource for the use of MATLAB in the neurosciences and psychology.
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"Elsevier science and technology books."

Includes bibliographical references and index.

I. Fundamentals -- II. Data collection with MATLAB -- III. Data analysis with MATLAB -- IV. Data modeling with MATLAB.

This title is an introduction to MATLAB, the current standard for scientific computing, written specifically for students and researchers in neuroscience and related fields. It serves as the first comprehensive study manual and teaching resource for the use of MATLAB in the neurosciences and psychology.

MATLAB 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.

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English.

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