These mini-lectures are designed around a class that I occasionally teach, as well as my book Analyzing Neural Time Series Data: Theory and Practice (2014, MIT Press). Each lecture is between ~5 and ~30 minutes, although some are longer because the material is more complex. My lecture slides are not available for download, so please do not ask for them. Each lecture contains some theory, some math, and some implementation in Matlab. The lectures are designed for people with little or no background in math or programming. That said, some familiarity with basic trigonometry and matrix algebra will be helpful. Some experience with Matlab programming will also be helpful. The videos are provided in ogg format, which should work in Chrome and Firefox on Windows/Mac/Linux. Internet Explorer may or may not support ogg format. The best way to learn from the lectures is to have Matlab open on your computer and the sample EEG data and Matlab scripts available. The scripts for each mini-lecture can be downloaded from the page for each video. The sample EEG data that are used for illustration can be downloaded here. No toolboxes are required for most of the material. The eeglab toolbox is used a bit, mainly for topographical plotting and data organization. The Matlab filtering and image processing toolboxes are occasionally necessary, and the statistics toolbox is occasionally useful. When toolboxes are used for the material in the lecture, I'll make this clear during the lecture. If you have questions or comments about each lecture, feel free to post them on the book's general forum here. Before asking a question, please check the book or another lecture to see if the answer is already easily accessible. If you learned from these lectures and would like to cite something, please cite my book. And if you feel that fiscal remuneration is appropriate, then you should encourage your colleagues to buy legal copies of the book instead of downloading illegal pdfs. Good luck and have fun! Mike X Cohen |