神經科學Matlab教程：Matlab科學計算導論（導讀版）

　　作為科學計算的數(shù)學軟件，MATLAB被廣泛應用于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）》專為神經科學及相關領域的學生和研究者編寫，介紹了MATLAB的基礎原理和基本程序設計，可以作為神經科學和心理學領域使用MAnAB的初次綜合學習手冊及教學資源。讀者可以學習刺激產生、實驗控制、數(shù)據收集、數(shù)據分析和建模等內容的經驗性知識和實驗過程，即多種計算問題都能在單一的程序環(huán)境下解決?！渡窠浛茖W研究與進展？神經科學MATLAB教程：MATLAB科學計算導論（英文）（導讀版）》作者教學經驗頗豐，其中兩位獲得令人夢寐以求的芝加哥大學布斯獎。作者并非將MATLAB單純視為程序設計語言，而是將其作為解決神經科學實際問題的工具。他們希望幫助初學者熟悉MATLAB神經科學程序，縮短本科階段所學內容與現(xiàn)階段研究之間的差距，不論是初學者、高年級本科生還是研究生新生，《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）》都力圖指導讀者能夠自行設計和實施分析工具，協(xié)助研究者和學生們達到神經科學實踐者所需的流暢計算能力。

　　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.