章节目录
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
内容简介
《神经科学研究与进展•神经科学MATLAB教程:MATLAB科学计算导论(英文)(导读版)》内容简介：作为科学计算的数学软件，Matlab被广泛应用于几乎所有的神经科学和认知心理学实验室。《神经科学研究与进展•神经科学MATLAB教程:MATLAB科学计算导论(英文)(导读版)》介绍了Matlab的基础原理和基本程序设计、数据搜集与实验控制、数据分析与建模，帮助使用者解决各种计算问题。作者并非将Matlab单纯视为程序设计语言，而是将其作为解决神经科学实际问题的工具。
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