From nicolas.brodu at numerimoire.net  Mon Jan 25 10:13:47 2010
From: nicolas.brodu at numerimoire.net (Nicolas Brodu)
Date: Mon, 25 Jan 2010 11:13:47 +0100
Subject: [Causality-ML] Analyzing Coherent Brain Networks with Granger
	Causality
Message-ID: <201001251113.47436.nicolas.brodu@numerimoire.net>

Dear Causality and Machine Learning group,

The next presentation is by Mingzhou Ding :
 Title: Analyzing Coherent Brain Networks with Granger Causality
 When: Thursday 11 February, 17h Paris time (8h PT, 11h ET, 0h(+1) Beijing)
 URL: http://www.afia-france.org/tiki-index.php?page=GroupeDeLecture091022MD

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Firefox), and optionally calling a local phone number. See the usage help at 
http://www.afia-france.org/tiki-index.php?page=teleconfConnectionDetails


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Abstract of the next presentation:
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Multielectrode neurophysiological recording and functional brain imaging 
produce massive quantities of data. Multivariate time series analysis 
provides the basic framework for analyzing the patterns of neural 
interactions in these data. It has long been recognized that neural 
interactions are directional. Being able to assess the directionality of 
neuronal interactions is thus a highly desired capability for understanding 
the cooperative nature of neural computation. Research over the last few 
years has shown that Granger causality is a key technique to furnish this 
capability. In this talk, I will introduce the concept of Granger causality 
and present results from applications of this technique to multichannel LFP 
and EEG recordings from monkeys and humans performing cognitive tasks.
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Best regards,
Nicolas Brodu