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神經(jīng)科學(xué)Matlab教程:Matlab科學(xué)計(jì)算導(dǎo)論(導(dǎo)讀版)

神經(jīng)科學(xué)Matlab教程:Matlab科學(xué)計(jì)算導(dǎo)論(導(dǎo)讀版)

定 價(jià):¥128.00

作 者: (美)瓦利施 等編著
出版社: 科學(xué)出版社
叢編項(xiàng):
標(biāo) 簽: 神經(jīng)內(nèi)科

ISBN: 9787030330567 出版時(shí)間: 2012-01-01 包裝: 精裝
開本: 16開 頁數(shù): 384 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  作為科學(xué)計(jì)算的數(shù)學(xué)軟件,MATLAB被廣泛應(yīng)用于幾乎所有的神經(jīng)科學(xué)和認(rèn)知心理學(xué)實(shí)驗(yàn)室?!渡窠?jīng)科學(xué)研究與進(jìn)展?神經(jīng)科學(xué)MATLAB教程:MATLAB科學(xué)計(jì)算導(dǎo)論(英文)(導(dǎo)讀版)》專為神經(jīng)科學(xué)及相關(guān)領(lǐng)域的學(xué)生和研究者編寫,介紹了MATLAB的基礎(chǔ)原理和基本程序設(shè)計(jì),可以作為神經(jīng)科學(xué)和心理學(xué)領(lǐng)域使用MAnAB的初次綜合學(xué)習(xí)手冊(cè)及教學(xué)資源。讀者可以學(xué)習(xí)刺激產(chǎn)生、實(shí)驗(yàn)控制、數(shù)據(jù)收集、數(shù)據(jù)分析和建模等內(nèi)容的經(jīng)驗(yàn)性知識(shí)和實(shí)驗(yàn)過程,即多種計(jì)算問題都能在單一的程序環(huán)境下解決。《神經(jīng)科學(xué)研究與進(jìn)展?神經(jīng)科學(xué)MATLAB教程:MATLAB科學(xué)計(jì)算導(dǎo)論(英文)(導(dǎo)讀版)》作者教學(xué)經(jīng)驗(yàn)頗豐,其中兩位獲得令人夢(mèng)寐以求的芝加哥大學(xué)布斯獎(jiǎng)。作者并非將MATLAB單純視為程序設(shè)計(jì)語言,而是將其作為解決神經(jīng)科學(xué)實(shí)際問題的工具。他們希望幫助初學(xué)者熟悉MATLAB神經(jīng)科學(xué)程序,縮短本科階段所學(xué)內(nèi)容與現(xiàn)階段研究之間的差距,不論是初學(xué)者、高年級(jí)本科生還是研究生新生,《神經(jīng)科學(xué)研究與進(jìn)展?神經(jīng)科學(xué)MATLAB教程:MATLAB科學(xué)計(jì)算導(dǎo)論(英文)(導(dǎo)讀版)》都力圖指導(dǎo)讀者能夠自行設(shè)計(jì)和實(shí)施分析工具,協(xié)助研究者和學(xué)生們達(dá)到神經(jīng)科學(xué)實(shí)踐者所需的流暢計(jì)算能力。

作者簡(jiǎn)介

  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.

圖書目錄

前言
作者簡(jiǎn)介
如何使用本書
第一部分 基本原理
1 入門
2 MATLAB指南
第二部分 MATLAB數(shù)據(jù)收集
3 視覺搜索和突顯
4 注意
5 心理物理學(xué)
6 信號(hào)檢測(cè)論
第三部分 MATLAB數(shù)據(jù)分析
7 時(shí)頻分析(I):傅里葉變換
8 時(shí)頻分析(II):非平穩(wěn)信號(hào)和譜圖
9 小波分析
10 卷積
11 相位平面分析
12 Fitzhugh-Nagumo模型
13 神經(jīng)數(shù)據(jù)分析:編碼
14 主成分分析
15 信息理論
16 神經(jīng)信息解碼(1):離散變量
17 神經(jīng)信息解碼(2):連續(xù)變量
18 功能磁共振成像
第四部分 MATLAB數(shù)據(jù)建模
19 電壓門控通道
20 單神經(jīng)元模型
21 視網(wǎng)膜模型
22 脈沖神經(jīng)元的簡(jiǎn)化模型
23 Fitzhug-Nagum0模型:行波
24 決策理論
25 Markov模型
26 泊松過程描述電發(fā)放事件
27 突觸傳遞
28 神經(jīng)網(wǎng)絡(luò)模型(I):有監(jiān)督學(xué)習(xí)
29 神經(jīng)網(wǎng)絡(luò)模型(II):無監(jiān)督學(xué)習(xí)
附錄A:有關(guān)MATLAB的一些思考
附錄B:線性代數(shù)回顧
附錄C:主要方程列表
參考文獻(xiàn)
索引

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