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Tristan Yates

1 accepted papers

2020

Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence

NeurIPS 2020spotlight

Functional magnetic resonance imaging (fMRI) is a crucial technology for gaining insights into cognitive processes in humans. Data amassed from fMRI measurements result in volumetric data sets that vary over time. However, analysing such data presents a challenge due to the large degree of noise and…