Preface
Part I: Fundamentals
Introduction
Tutorial
Part II: Data Collection with Matlab
Visual Search and Pop Out
Attention
Psychophysics
Signal Detection Theory
Part III: Data Analysis with Matlab
Frequency Analysis Part I
Frequency Analysis Part II: Non-stationary Signals and Spectrograms
Wavelets
Convolution
Introduction to Phase Plane Analysis
Exploring the Fitzhugh-Nagumo Model
Neural Data Analysis: Encoding
Principal Components Analysis
Information Theory
Neural Decoding: Discrete variables
Neural Decoding: Continuous variables
Functional Magnetic Imaging
Part IV: Data Modeling with Matlab
Voltage-Gated Ion Channels
Models of a Single Neuron
Models of the Retina
Simplified Models of Spiking Neurons
Fitzhugh-Nagumo Model: Traveling Waves
Decision Theory
Markov Model
Modeling Spike Trains as a Poisson Process
Synaptic Transmission
Neural Networks: Unsupervised learning
Neural Network: Supervised Learning
Appendices
Appendix 1: Thinking in Matlab
Appendix 2: Linear Algebra Review
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