CSAAW WORKSHOP
Abstract:
Motivated by applications in neuroscience, in this talk, I will present some methodology for studying samples of networks. The brain is a system composed of multiple units interacting with each other, and hence it can be represented as a network. Imaging techniques have made possible to analyze the connectivity between regions in the brain using brain networks. Moreover, the availability of data from multiple subjects allows us to study these networks at the population level, which can help us to understand the characteristics of the brain connectivity under different conditions, such as brain disorders. I will talk about classification of networks, and present a method able to identify important nodes for prediction, and supervised community detection, in which the goal is to identify partitions of the nodes that can distinguish between different populations.

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