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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/academia/student_center/tutorials/launchpad.html|"Getting Started with MATLAB" Primer]]. | ||
- | If you can solve these exercises you are ready for this course. | + | If you are unsure, take a look at the table of contents of the Primer. If there are things you don't recognize, use the Primer itself, or Chapter 2 of the MATLAB for Neuroscientists book to get up to speed. |
=== Resources === | === Resources === | ||
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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}} |
=== What this course is === | === What this course is === | ||
- | A hands-on introduction to basic management, visualization, and analysis of neurophysiology data (spike trains and LFPs from behaving rodents) using MATLAB. We will make contact with a few concepts from computer science, signal processing, and statistics sufficient for . However, the focus is on making initial steps that work and getting pointers to more complete treatment, rather than a thorough theoretical grounding. | + | A hands-on introduction to basic management, visualization, and analysis of neurophysiology data (spike trains and LFPs from behaving rodents) using MATLAB. We will make contact with a few concepts from computer science, signal processing, and statistics. However, the focus is on making initial steps that work and getting pointers to more complete treatment, rather than a thorough theoretical grounding. |
=== What this course is not === | === What this course is not === |