Kopriva Science Seminar Series, Catherine Potts

Catherine Potts, a doctoral student in the Department of Mathematical Sciences and recipient of a 2020 Kopriva Graduate Student Fellowship, will present "Archetypal Analysis Applied to Neuronal Cellular Signaling" as part of the College of Letters and Sciences's Kopriva Science Seminar Series.

Archetypal Analysis Applied to Neuronal Cellular Signaling

Understanding how neurons communicate with each other in the brain and any effects that nanoparticles may have on neuronal communication is a subject area of great interest for biomedicine. Surprisingly, most analysis methods focus on individual neuronal calcium behavior, not the behavior of the interactions between neurons. To capture these interactions, we apply the unsupervised machine learning method Archetypal Analysis, whose computational elements can be easily interpreted in the context of a neuronal cellular signaling.

In this talk, Catherine will discuss her Ph.D. research, in collaboration with MSU's Kunze Neuroengineering Lab and the MT PEAKS fellowship, to apply Archetypal Analysis to neuronal calcium images generated from nanoparticle experiments. She will also discuss Archetypal Analysis in terms of a machine learning model, the geometric interpretation of its computational elements, and compare it to Principal Component Analysis using an image processing database. 

Webex link: https://montana.webex.com/montana/j.php?MTID=m531fdcd5c47cd1bca9d24bf91a92a642  

Amanda Smith
406-994-4288
[email protected]