[Lisa_seminaires] Reminder: CIFAR machine learning seminar today @ 14h30, AA3195

Guillaume Desjardins guillaume.desjardins at gmail.com
Jeu 23 Juin 08:17:21 EDT 2011


---------- Forwarded message ----------
From: Guillaume Desjardins <guillaume.desjardins at gmail.com>
Date: Mon, Jun 20, 2011 at 3:56 PM
Subject: Update: CIFAR machine learning seminar Thurs. June 23rd @ 14h30, AA3195
To: lisa_seminaires at iro.umontreal.ca


Aapo Hyvarinen's talk, scheduled for Thurs. June 23rd @ 14h30,  will
take place in AA3195 (Pavillon  Andre-Aisenstadt, room 3195,
University of Montreal).

On Fri, Jun 17, 2011 at 6:07 PM, Guillaume Desjardins
<guillaume.desjardins at gmail.com> wrote:
> I am delighted to announce the following talk by Aapo Hyvarinen, which
> will take place on Thursday June 23rd at 14h30. The talk will be held
> at the University of Montreal, with the exact room to be announced at
> a later date. Hope to see you there !
>
> Title: Unsupervised machine learning for analysis of EEG and MEG at rest
> Speaker: Aapo Hyvarinen
>
> Abstract: Recently, a lot of brain imaging has concentrated on
> analyzing brain activity at rest, i.e. when the subject is not doing
> anything particular and does not receive specific stimulation. When
> using functional magnetic resonance imaging (fMRI), such analysis is
> typically done by independent component analysis (ICA). However, there
> has not been very much work on analysing resting activity measured by
> EEG or MEG. We have recently developed various methods to analyse
> EEG/MEG data at rest. First, we have created new variants of ICA to
> more completely exploit the statistical structure of EEG/MEG data.
> Second, we have developed tests of the statistical significance of the
> independent components. Third, we have a framework for analysis of
> causality (connectivity) which uses the non-Gaussianity of the data
> and hopefully it can be used to analyse the connectivity of the
> independent components.
>


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