Best Paper Award at the NetSci-X Conference held in January 11-13, 2016 in Wroclaw, Poland for the following paper
Arsiwalla, X. D., & Verschure, P. (2016). Computing Information Integration in Brain Networks. In Advances in Network Science (pp. 136-146). Springer International Publishing.
NetSci-X is the primary winter conference on Network Science promoted by the Network Science Society, bringing together leading researchers working on novel directions in network science within the biological and environmental sciences, computer and information sciences, social sciences, finance and business, among others.
In this paper, Xerxes Arsiwalla and Paul Verschure developed a mathematical framework for computing the information integrated in complex dynamical networks. In particular, they applied the authors formulation to large-scale networks constructed from human brain connectivity data and were able to provide a quantitative estimate of how the wiring pattern of the human brain compares to other null models in the amount of information it globally integrates across dynamical processes leading to cognition and behavior. Such information-based approaches open new directions for investigating information processing deficits across mental illnesses.