“GRAPHICAL MODELS FOR THE CHARACTERIZATION OF INFORMATION FLOW IN COMPLEX NETWORKS: APPLICATION IN NEUROIMAGING” è il titolo della summer school che si terrà a Grenoble, in Francia, dall’8 al 12 Luglio 2013. Registrazioni aperte fino al 15 aprile.
La segnala Fabrizio De Vico Fallani, un giovane e brillante studioso italiano che si è trasferito a Parigi per sviluppare le proprie ricerche su reti complesse, cervello e neuroinmaging. Ecco una breve presentazione della summer school:
This summer school is gathering scientific experts from the theoretical
perspective of statistical signal processing on complex networks, and
practical considerations for analyzing 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)
perspective of statistical signal processing on complex networks, and
practical considerations for analyzing 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)
Informazioni dettagliate e modulo di iscrizione si trovano cliccando QUI.