Modeling Brain Hierarchical Structure using Graph-based Manifold Learning
نویسندگان
چکیده
Hierarchical organizations of information processing in the brain networks have been known to exist and widely studied. The main technique of conventional approaches, which extracts pairwise hierarchical relationships by utilizing observable anatomical criteria based on noninvasive tract tracing experiments, cannot be extended to apply to the study of human brains. Therefore, we need to design a new methods computing hierarchy levels given the limited amount of hierarchical information. In this study, we suggest a new framework that can discover hierarchical structures of the brain networks with only the connectivity matrix and hierarchical information of a very few areas.
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