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April 15, 2019 | 2:45 p.m. - 3:45 p.m.
Category: Lecture
Location: Faculty/Administration #1140 | Map
656 W. Kirby
Detroit, MI 48202
Cost: Free

Speaker: Andrew Salch, Wayne State University

Title: Topological data analysis of functional MRI data

Abstract: I'll explain a bit about the basic ideas and methods of topological data analysis (TDA), and the basic ideas and methods of functional magnetic resonance imaging (fMRI), and then I'll outline a broad, ongoing project with V. Diwadkar's medical imaging lab in WSU's medical school to apply TDA to fMRI data. This involves discussing:

1. what we've been doing to fMRI data to reveal topological structure in the fMRI signal,
2. a bit of brain anatomy to explain the medical significance of our preliminary results,
3. and some improvements to the usual analytic techniques from TDA that we've developed in order to solve a known instability issue in persistent homology of time-series data.

For more information about this event, please contact Department of Mathematics at 3135772479 or