Here you will find a small sample of the teaching materials that I have prepared during the last few years. Unless otherwise stated, everything here is released under a Creative Commons Attribution-NonCommercial-ShareAlike licence.
In this lecture we present some very fundamental concepts of linear algebra that are heavily used in Neuroimaging. Namely, the goal of this lecture is to provide the neccessary background for understanding standard approaches to the EEG and MEG inverse problem.
A MATLAB tutorial that illustrates the key principles underlying M/EEG source reconstruction techniques.
In this tutorial we will characterize coupling dynamics between several scalar time-series using the powerful software toolbox TIM. TIM is being developed by Kalle Rutanen, whom I had the pleasure of supervising while working at Tampere University of Technology. Since TIM was originally released on year 2010, Kalle has taken it to a completely new level both in terms of features and computational efficiency. If you work with information theoretic measures such as Mutual Information, Transfer Entropy, and their partialized versions, then you should look no further and use TIM!
In this tutorial we study the coupling dynamics underlying a real dataset of experimental measurements. The particularity of this tutorial is that, as in most real coupling analyses, the lag of the coupling is unknown. Therefore, we need to estimate information flow at different lags in order to determine the coupling delay. This tutorial will teach you how to do this with TIM's Matlab interface.
Five sets of exercises, four sets of homework assignments and four sample exams. The solutions are also available in most cases. Below you can find links to the pdf versions of all documents, but you can also get the Latex sources and raw images.
Several supporting documents to help students with the textbook content and the course exercises. Below you can find links to the pdf versions of all documents, but you can also get the Latex sources and raw images.