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Extended deadline: Registration open until 30 Avril 2013
Summer school on Graphical models for the characterisation of information flow in complex networks: Application in neuroimaging
This summer school will gather for the first time researchers in physics, mathematics, signal processing and neuroscience working on the identification of complex systems.
Topics of the school
A challenge is to group efforts from the theoretical perspective of statistical signal processing on complex networks, and pratical considerations for analysing brain activity and connectivity. The research developments on these topics are necessarily multi-disciplinary, 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 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)
Dates and location
The summer school will take place between 8 July and 12 July 2013 in Grenoble, the heart of the alps. The participants will be accommodated in a brand new hotel next to the city center.
Contacts
The organizing committee:
- Sophie Achard
- Pierre Borgnat
- Mario Chavez
If you are interested in this summer school, do not hesitate to contact us!
Last update 11 April 2013 -- concerning this web page, contact Sophie Achard, sophie.achard[at]gipsa-lab.inpg.fr