Thomas William Arthur Bolton — accepted AI-conference papers

2023

Graph Signal Processing For Neurogimaging to Reveal Dynamics of Brain Structure-Function Coupling

Maria Giulia Preti, Thomas William Arthur Bolton, Alessandra Griffa, Dimitri Van De Ville

ICASSP 2023accepted

Linking time-varying functional brain activity with underlying neural architecture remains a complex and challenging endeavor. A recent framework for this undertaking is graph signal processing (GSP), where functional activity patterns are treated as signals living on a graph that is characterized b…

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2018

Graph Signal Processing of Human Brain Imaging Data

Weiyu Huang, Thomas William Arthur Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville

ICASSP 2018accepted

Modern neuroimaging techniques offer disctinct views on brain structure and function. Data acquired using these techniques can be analyzed in terms of its network structure to identify organizing principles at the systems level. Graph representations are flexible frameworks where nodes are related t…

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