Matlab for Neuroscientists: An Introduction to Scientific Computing in Matlab > 생명과학

Table of Contents
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