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MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / Pascal Wallisch [and five others].
Format
Book
Language
English
Εdition
Second edition.
Published/Created
Amsterdam : Academic Press, [2014]
©2014
Description
xx, 550 pages : illustrations (some color) ; 24 cm
Availability
Available Online
O'Reilly Online Learning: Academic/Public Library Edition
Elsevier ScienceDirect eBook - Neuroscience 2013
Ebook Central Perpetual, DDA and Subscription Titles
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Lewis Library - Stacks
QP357.5 .M38 2014
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Lewis Library - Stacks
QP357.5 .M38 2014
Browse related items
Request
Details
Subject(s)
Neurosciences
—
Data processing
[Browse]
Numerical analysis
—
Computer programs
[Browse]
Computer science
—
Methodology
[Browse]
Neurosciences
[Browse]
MATLAB
[Browse]
Author
Wallisch, Pascal, 1978-
[Browse]
Summary note
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.
Bibliographic references
Includes bibliographical references and index.
Contents
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.
Show 33 more Contents items
ISBN
9780123838360 ((hbk.))
0123838363 ((hbk.))
0123838371 ((electronic bk.))
9780123838377 ((electronic bk.))
LCCN
2014395347
OCLC
874093115
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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MATLAB for neuroscientists : an introduction to scientific computing in MATLAB / Pascal Wallisch [and five others].
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