Connectomics is one of the hottest inter-disciplinary topics today. It links computer science and Engineering with life sciences and medicine. Connection networks grow over functional (fMRI, ASL, EEG, MEG) and structural (diffusion weighted MRI) data and the integration of the two in both static and dynamic conditions would shed light on the way our brain actually works. Connectomics also holds paramount potential for clinical applications through the characterization of the network’s modulation in pathologies and the assessment of the treatment. In particular, it allows capturing the plasticity processes that are due to different causes including learning, aging and recovering from injury. All these topics must be faced in a multidisciplinary approach touching the different fields that are involved by this exquisitely interdisciplinary topic.
The School on Brain Connectomics aims at gathering the knowledge in the different fields that are touched by these topics providing the students a comprehensive view of this research area as well as awareness about the cutting-edge methodological, experimental and clinical aspects that are involved. Connectomics bridges signal and image processing with applied mathematics, graph theory and machine learning.
|8:15 - 8:45||Registration|
|8:45 - 9:00||Welcome address||Gloria Menegaz, Mario Pezzotti|
|9:00 - 10:00||Opening Lecture||Jean Philippe Thiran|
|10:00 - 11:30||Neuroanatomy||Marina Bentivoglio|
|11:30 - 11:45||Break|
|11:45 - 13:15||Neuroanatomy||Giorgio Innocenti|
|13:15 - 14:15||Lunch|
|14:15 - 15:00||Power Pitch|
The school will be held at the Dept. of Computer Science of the University of Verona (Verona, Italy). Facilities will be made available for hands-on laboratory sessions where the students will learn and experiment software tools for data processing (pre-processing, analysis, modeling).
The number of participants is limited to 40.
Priority will be given to Ph.D. students. If you are a post-doc or a researcher, please contact one of the organizers (gloria.menegaz[at]univr [dot] it , alessandro.daducci[at]univr [dot] it , silviafrancesca.storti[at]univr [dot] it ). Admission to the school is possible if there are positions available.
Applicants should send the necessary documentation via email at the following address: gloria.menegaz[at]univr [dot] it
Deadline for applications: September 15, 2017
AFTER the notification of acceptance, payments can be made via credit card at the following link: http://www.di.univr.it/?ent=vendita&codice=BRAIN17