analysis:nsb2018
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| - | ~~DISCUSSION~~ | + | Welcome! This is the home page for the van der Meer lab's data management and analysis tutorials using MATLAB. |
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| - | Welcome! This is the home page for the data management and analysis tutorials for the NS&B 2018 mouse striatum module. | + | |
| === Contents === | === Contents === | ||
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| Basic familiarity with MATLAB. Depending on your background and programming experience you might find the following resources helpful: | Basic familiarity with MATLAB. Depending on your background and programming experience you might find the following resources helpful: | ||
| - | * Textbook: {{:analysis:wallisch_matlabforneuro.pdf|Wallisch, MATLAB for Neuroscientists}} | + | * Textbook: Wallisch, MATLAB for Neuroscientists |
| * [[http://www.mathworks.com/help/matlab/getting-started-with-matlab.html?s_cid=learn_doc|"Getting Started with MATLAB" Primer]]. | * [[http://www.mathworks.com/help/matlab/getting-started-with-matlab.html?s_cid=learn_doc|"Getting Started with MATLAB" Primer]]. | ||
| * [[http://www.mathworks.com/matlabcentral/about/cody/ | Cody]], a continually expanding set of problems with solutions to work through, with a points system to track your progress | * [[http://www.mathworks.com/matlabcentral/about/cody/ | Cody]], a continually expanding set of problems with solutions to work through, with a points system to track your progress | ||
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| This course is "standalone", but the following textbooks provide more in-depth treatment of some of the topics. | This course is "standalone", but the following textbooks provide more in-depth treatment of some of the topics. | ||
| - | * Textbook: {{:analysis:leis_dspusingmatlab.pdf|Leis, Digital Signal Processing using MATLAB for Students and Researchers}} | + | * Textbook: Leis, Digital Signal Processing using MATLAB for Students and Researchers |
| - | * Textbook: {{:analysis:johnstonwu.pdf|Johnston and Wu, Foundations of Cellular Neurophysiology}} | + | * Textbook: Johnston and Wu, Foundations of Cellular Neurophysiology |
| - | * Textbook: {{:analysis:dayanabbott_theoneuro.pdf|Dayan & Abbott, Theoretical Neuroscience}} | + | * Textbook: Dayan & Abbott, Theoretical Neuroscience |
| + | * Textbook: Cohen, Analyzing Neural Time Series Data | ||
| + | * Textbook: Kramer & Eden, Case Studies in Neural Data Analysis | ||
| === What this tutorial provides === | === What this tutorial provides === | ||
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| === Acknowledgments === | === Acknowledgments === | ||
| - | The architecture of the code used here was inspired by a similar set of code by my post-doctoral mentor, [[http://redishlab.neuroscience.umn.edu/ | A. David Redish]]; several of the data types and functions are re-implementations of Redish lab functions of the same name. Major contributions to the codebase were made by Alyssa Carey (a former grad student in the lab and NS&B TA) and Youki Tanaka (current grad student and NS&B alum). | + | The architecture of the code used here was inspired by a similar set of code by my post-doctoral mentor, [[http://redishlab.neuroscience.umn.edu/ | A. David Redish]]; several of the data types and functions are re-implementations of Redish lab functions of the same name. Major contributions to the codebase were made by Alyssa Carey (a former grad student in the lab and NS&B TA) and Youki Tanaka (former grad student and NS&B alum). |
analysis/nsb2018.1541439209.txt.gz · Last modified: 2018/11/05 12:33 by mvdm
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