GRAPHICAL MODELS FOR THE CHARACTERISATION OF INFORMATION FLOW IN COMPLEX NETWORKS: APPLICATION IN NEUROIMAGING

25 Janvier 2013

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Catégorie : Ecole thématique

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This summer school is gathering scientific experts from the theoretical perspective of statistical signal processing on complex networks, and
practical considerations for analysing brain activity and connectivity. The research developments on these topics are necessarily multidisciplinary, with expertise from neuroscience, signal processing, statistics. This school will be an unique opportunity to get together scientific experts from graphical models, information theory and neuroimaging in order to propose new paradigms to extract brain functional connectivity using fMRI, EEG, MEG and DTI.

The topics of the summer school are:

• Graphical models: estimation, model selection
• Dependency measures, directed information and causality
• Functional and anatomical brain connectivity
• Neuroimaging: functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), electroencephalography (EEG), diffusion tensor imaging (DTI)

Speakers

Long lectures

• Prof Alberto Roverato (Dipartimento di Scienze Statistiche, Universita' di Bologna)
• Prof Milan Palus (Insitute of Computer Science, Academy of Sciences of the Czech Republic, Prague)

Lecture on advanced topics

• Prof. Dimitri Van de Ville (Université de Genève, EPFL, Suisse)
• Prof. Vito Latora (Queen Mary, University of London, UK)
• Dr Petra Vertes, (University of Cambridge, UK)
• Prof. Ed Bullmore (University of Cambridge, UK)
• Fabrizio De Vico Fallani (Institut du cerveau et de la Moelle Epinière, Paris)

Practical works

• Dr Robert Castelo (Pompeu Fabra University (UPF), Barcelona, Spain)
• Dr Jonas Richiardi (Neurology and Neurological Sciences, Stanford University School of Medicine)

Practical information

The registration fee includes attendance to all courses, housing, food, coffee breaks, and gala diner.
English is the official language of the summer school.

Registration will open soon on webpage: http://www.gipsa-lab.fr/summerschool/GMIneuro/registration.html

Hoping to see you in Grenoble,

The organizing committee
Sophie Achard, Pierre Borgnat and Mario Chavez.

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Pierre Borgnat -- Chargé de Recherche CNRS (Associate Researcher / PhD)
Ecole normale superieure de Lyon
Laboratoire de Physique UMR CNRS 5672
46, allee d'Italie 69364 Lyon cedex 07 France  
tel : +33 (0)4 72 72 86 91 -- fax : +33 (0)4 72 72 85 90
http://perso.ens-lyon.fr/pierre.borgnat  
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