- Giovanni Cicuta ()
Prof. Eytan Domany (Weizmann Institute of Science)
12/9/15, 2:30 PM
I will present a “systems approach” to analysis of high throughput large cancer datasets. The basic idea is to make use of existing knowledge, taking the golden path between “ignorance-based” machine learning approaches and the “all details are essential” view of many biologists. This philosophy  has been implemented in Pathifier – an algorithm that infers pathway deregulation scores for...
Lucilla De Arcangelis (S)
12/9/15, 3:10 PM
Several biological and natural systems appear to operate close to a critical point, as evidenced by the absence of a characteristic size in the phenomenon. Indeed, the existence of power law distributions has been detected in several contexts, as different as earthquakes, solar flares or spontaneous brain activity, and, surprisingly, with similar scaling behaviour. We propose that the specific...
Prof. Roberto Benzi (Dipartimento di Fisica, Univ. di Roma "Tor Vergata")
12/9/15, 3:40 PM
Many materials around us respond elastically to small applied stresses, but flow once a threshold stress (the yield stress) is exceeded. This is the case for food products, powders, cosmetics, foams, etc… It turns out that understanding the yield stress transition in these materials, often called soft glasses, is a challenging question. Similar to structural glasses, soft glasses exhibit aging...
Dr Alessandro Vezzani (CNR NANO)
12/9/15, 4:10 PM
We apply to neural networks dynamics on on random massive networks the hetherogeneous mean field approach which has been originally developed for epidemic and social systems. In particular we focus on leaky integrate-and-fire neurons with short-term plasticity evidencing that for large enough connectivity the method provides a good descriptoin of the full network dynamics. Then we analyze in...