MATLAB FOR NEUROSCIENCETISTS An introduction to scientific computing in MSTLA B PASCAL WALLISCH

includes bibliographic reference and index

. 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

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