《神經科學Matlab教程》是2012年科學出版社出版的圖書，作者是Pascal Wallisch、Michael Lusignan、Marc Benayoun、Tanya I. Baker 、Adam Seth Dickey、Nicholas G、Hatsopoulos。
《神經科學研究與進展·神經科學MATLAB教程:MATLAB科學計算導論(英文)(導讀版)》內容簡介：作為科學計算的數學軟體，Matlab被廣泛套用於幾乎所有的神經科學和認知心理學實驗室。《神經科學研究與進展·神經科學MATLAB教程:MATLAB科學計算導論(英文)(導讀版)》介紹了Matlab的基礎原理和基本程式設計、數據蒐集與實驗控制、數據分析與建模，幫助使用者解決各種計算問題。作者並非將Matlab單純視為程式設計語言，而是將其作為解決神經科學實際問題的工具。
基本介紹
- 作者：Pascal Wallisch、Michael Lusignan等
- ISBN：9787030330567
- 頁數：384
- 定價：128.00元
- 出版社：科學出版社
- 出版時間：2012-1
- 裝幀：精裝
- 副標題：Matlab科學計算導論
- 叢書： 神經科學研究與進展
內容介紹,作品目錄,
內容介紹
《神經科學研究與進展·神經科學MATLAB教程:MATLAB科學計算導論(英文)(導讀版)》介紹了Matlab的基礎原理和基本程式設計、數據蒐集與實驗控制、數據分析與建模，幫助使用者解決各種計算問題。作者並非將Matlab單純視為程式設計語言，而是將其作為解決神經科學實際問題的工具。
作品目錄
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
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
