神经科学Matlab教程：Matlab科学计算导论（导读版）

　　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）》专为神经科学及相关领域的学生和研究者编写，介绍了MATLAB的基础原理和基本程序设计，可以作为神经科学和心理学领域使用MAnAB的初次综合学习手册及教学资源。读者可以学习刺激产生、实验控制、数据收集、数据分析和建模等内容的经验性知识和实验过程，即多种计算问题都能在单一的程序环境下解决。《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）》作者教学经验颇丰，其中两位获得令人梦寐以求的芝加哥大学布斯奖。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。他们希望帮助初学者熟悉MATLAB神经科学程序，缩短本科阶段所学内容与现阶段研究之间的差距，不论是初学者、高年级本科生还是研究生新生，《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）》都力图指导读者能够自行设计和实施分析工具，协助研究者和学生们达到神经科学实践者所需的流畅计算能力。

　　Pascal Wallisch， PhD， Center for Neural Science， New York University Pascal received his PhD from the Uruversity of Chicago and is now a postdoctoral fellow at New York University. He is currently studying the processing of visual motion. Pascal is passionate about teaching， as well as the communication of scientific concepts to a wider audience. He was recognized for his distinguished teaching record by the University of Chicago Booth Prize.Michael Lusignan， Committee on Computational Neuroscience， University of Chicago Michael is an advanced graduate student who has enjoyed teaching several courses involving MATLAB to graduate， as well as undergraduate students. He infuses his teaching with eight years of experience in active software development. His current interests include sensory encoding in neuroethological model systems.Marc Benayoun， Committee on Computational Neuroscience， University of Chicago Marc is an MD/PhD student currently interested in applying statistical field theory to study neural networks with applications to epilepsy. He has an extensive teaching record and was also awarded theUniversity of Chicago Booth Prize.Tanya L Baker， PhD， Junior Research Fellow， Crick-Jacobs Center for Theoretical Neurobiology， The Salk Institute for Biological Studies， La Jolla， California Tanya is a junior research fellow modeling large-scale neuronal population dynamics using modern statistical methods. Previously， she was a post-doctoral lecturer at the University of Chicago where she developed and taught Mathematical Methods for the Biological Sciences， a new year-long course with a computer lab component.She received her PhD in Physics at the University of Chicago and her BS in Physics and Applied Mathematics at UCLA.Adam Dickey， Committee on Computational Neuroscience， University of Chicago Adam is an MD/PhD candidate at the University of Chicago. He is currently a graduate sfudent in the laboratory of Dr. Nicholas Hatsopoulos. Adam is interested in improving decoding techniques used for neuralprosthetic control.Nicholas G. Hatsopoulos， PhD， Department of Organismal Biology and Anatomy & Department of Neurology， University of Chicago Nicholas is Associate Professor and Chairman of the graduate program on Computational Neuroscience. He teaches a course inCognitive Neuroscience which formed the basis for some of the chapters in the books.His research focuses on how ensembles of cortical neurons work together to control，coordinate，and learn complex movements of the arm and hand.He is also developing brain-machine interfaces by which patients with severe motor disabitities could activate large groups of neurons to control external devices.

前言
作者简介
如何使用本书
第一部分 基本原理
1 入门
2 MATLAB指南
第二部分 MATLAB数据收集
3 视觉搜索和突显
4 注意
5 心理物理学
6 信号检测论
第三部分 MATLAB数据分析
7 时频分析（I）：傅里叶变换
8 时频分析（II）：非平稳信号和谱图
9 小波分析
10 卷积
11 相位平面分析
12 Fitzhugh-Nagumo模型
13 神经数据分析：编码
14 主成分分析
15 信息理论
16 神经信息解码（1）：离散变量
17 神经信息解码（2）：连续变量
18 功能磁共振成像
第四部分 MATLAB数据建模
19 电压门控通道
20 单神经元模型
21 视网膜模型
22 脉冲神经元的简化模型
23 Fitzhug-Nagum0模型：行波
24 决策理论
25 Markov模型
26 泊松过程描述电发放事件
27 突触传递
28 神经网络模型（I）：有监督学习
29 神经网络模型（II）：无监督学习
附录A：有关MATLAB的一些思考
附录B：线性代数回顾
附录C：主要方程列表
参考文献
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