Summer school

Aim

 

 

 

Scientific objectives

Studies of the fundamental organizing mechanisms in the brain that allow complex and coordinated neuronal activity have produced some of the most spectacular discoveries in neuroscience, and still have a huge potential as novel technological and methodological tools are developed. In particular, better understanding of human brain dynamics and functional networks will be key to future insights into the biological basis for cognition, as well as being highly relevant to characterisation of neuropsychiatric disorders, psychoactive drug effects and computer-brain interfaces. 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 multidisciplinary, gathering expertise from neuroscience, signal processing, statistics. This school will be an unique opportunity to gather 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.

 

Tutorial objectives

The summer school will be dedicated to young researchers (inculding PhD students) with a background in one of the three main topics of the school: brain connectivity, statistical modeling for complex networks, and/or information theory. The school will provide lectures with scientific experts in neuroscience, physics, and mathematics. This summer school will gather together experts in theory and modelling to facilitate the contacts between students and experts of such various fields. By attending this summer school, participants will develop necessary interdisplinary skills in order to propose efficient methodology to be applied to brain connectivity.

 

Practical organisation

Because of the large scope of the summer school, the first day will be dedicated to the introduction of the three topics with two or three lectures of 2 hours and a half. Before the beginning of the school each participant will receive a list of books and references. During the summer school, the participants will have access to journal papers and libraries. Special session for partical work on computers will be organised using a large variety of softwares (R, Python and Matlab). Short presentation (1 minute) of participants topics will be organised the first two days of the School. Moreover a book with one slide per participant will be edited and given to each participant. Two poster sessions will be organised during the school. Working groups will be organised during the whole duration of the summer school so that students will be able to present and discuss their works

 

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)

 

2-hour 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)

 

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