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analysis:nsb2018 [2018/06/30 14:44]
mvdm created
analysis:nsb2018 [2019/11/30 18:06]
mvdm
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 ~~DISCUSSION~~ ~~DISCUSSION~~
  
-Welcome! This is the home page for the data management and analysis tutorials ​for the NS&B 2018 mouse striatum module.+Welcome! This is the home page for the van der Meer lab'​s ​data management and analysis tutorials ​using MATLAB.
  
 === Contents === === Contents ===
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    * [[analysis:​nsb2017:​week2|Module 2: Introduction to neural data formats and preprocessing]]    * [[analysis:​nsb2017:​week2|Module 2: Introduction to neural data formats and preprocessing]]
    * [[analysis:​nsb2016:​week3long|Module 3: Visualizing raw neural data in MATLAB]] ([[analysis:​nsb2016:​week3short|Short version]])    * [[analysis:​nsb2016:​week3long|Module 3: Visualizing raw neural data in MATLAB]] ([[analysis:​nsb2016:​week3short|Short version]])
-   * [[analysis:​nsb2017:​spikesort|Module 4: Spike sorting]]+   * [[analysis:​nsb2017:​spikesort|Module 4: Spike sorting ​tetrode data]]
    
 == Time series data data basics: do as needed == == Time series data data basics: do as needed ==
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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 TA this year) and Youki Tanaka (current grad student and taking ​NS&​B ​this year). +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). 
analysis/nsb2018.txt · Last modified: 2021/04/21 20:46 by mvdm