Dynamic Casual Modeling of Effective Connection in Brain Network Based on the Cloud Computing Platform

Since the Brainnetome Initiative and Human Brain Project began, a few efforts have been made to address the computational challenges of neuroscience Big Data. The promises of these two projects were to model the complex interaction of brain and behavior and to understand and diagnose brain diseases by collecting and analyzing large quantities of data. Archiving, analyzing, and sharing the growing neuroimaging datasets posed major challenges. New computational methods and technologies have emerged in the domain of Big Data but have not been fully adapted for use in neuroimaging. In this internship, I propose a new method to model the effective brain network connection which may help u to understanding the information processing capabilities of the brain. TO BE CONT’D

Faculty Supervisor:

Alan Evans

Student:

Partner:

The University of Electronic Science and Technology of China

Discipline:

Life Sciences

Sector:

Education

University:

McGill University

Program: