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Activity Number: 170
Type: Topic Contributed
Date/Time: Monday, August 10, 2015 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract #315282 View Presentation
Title: Topological Data Analysis for Functional Neuroimaging
Author(s): Nicole A. Lazar*
Companies: University of Georgia
Keywords: neuroimaging ; topology ; feature selection
Abstract:

Topological data analysis (TDA) is a relatively new development at the intersection of mathematics, statistics, and computer science. The approach, which focuses on topological features of a data set, is particularly suited for "Big Data", often characterized by complicated structure such as images. In this talk, I will discuss the basics of TDA, emphasizing persistent homology and its uses for functional neuroimaging data.

This is joint work with Chul Moon (University of Georgia) and Ezra Miller (Duke University)

Authors who are presenting talks have a * after their name.

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