58308302 Seminar: Neuroinformatics
Topic: Advanced data analysis methods in brain imaging
Seminar for Master's and PhD students in English, 3 cu (ECTS), 2008-09
17/09-08/10/2008 and 29/10-26/11/2008 on Wednesdays at 14:15-15:45 o'clock in lecture hall C220 (Exactum).
Master's and PhD students in statistics (incl. EuroBayes), computer
science (specialization in algorithms & machine learning, intelligent systems, or bioinformatics), or applied mathematics
(specialization e.g. in stochastics).
Previous knowledge of neuroscience is not necessary, although desirable.
The seminar will consider a number of published articles in which
advance data analysis methods are applied or developed for brain
imaging data. Participants will present the articles, one article per
participant. An introductory lecture or two will also be given for
those not familiar with brain imaging. Here are the articles we will go through.
To get the credit points, you are supposed to
participate in all
the sessions of the seminar (one absence is OK, more than one if you
have a very good reason)
- give a talk based on one of the articles.
- write, in the end, a short report on what you learned at the seminar (something like 10 lines per presentation). Deadline for the report: 15th December. To help you in writing the report, (some of) the presentation slides are available when you add the text presentations to the URL of this page.
17.09. Introduction, scheduling
24.09. Pavan: introduction to MEG/EEG
01.10. Ilkka: ICA_artifacts, Juan: minimumcurrent
08.10. Matti: EEG_causality, Ignacio: braincomputerinterface
--------( two weeks break )----------------------------
29.10. Paul: variationalbayes, Erik: beamforming
05.11. Urs: introduction to fMRI
12.11. Marko: grangercausality, Michael: fMRI_neurophysiology
19.11. Mika: textmining, Melissa: multivoxelreview
26.11. Free discussion (voluntary)