BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Iris Yoon (Wesleyan University - USA) DTSTART:20240419T160000Z DTEND:20240419T170000Z DTSTAMP:20260423T022933Z UID:GEOTOP-A/66 DESCRIPTION:Title: Topological tracing of encoded circular coordinates between neural popul ations\nby Iris Yoon (Wesleyan University - USA) as part of GEOTOP-A s eminar\n\n\nAbstract\nRecent developments in in vivo neuroimaging in anima l models have made possible the study of information coding in large popul ations of neurons and even how that coding evolves in different neural sys tems. Topological methods\, in particular\, are effective at detecting per iodic\, quasi-periodic\, or circular features in neural systems. Once we d etect the presence of circular structures\, we face the problem of assigni ng semantics: what do the circular structures in a neural population encod e? Are they reflections of an underlying physiological activity\, or are t hey driven by an external stimulus? If so\, which specific features of the stimulus are encoded by the neurons? To address this problem\, we introdu ced the method of analogous bars (Yoon\, Ghrist\, Giusti 2023). Given two related systems\, say a stimulus system and a neural population\, or two r elated neural populations\, we utilize the dissimilarity between the two s ystems and Dowker complexes to find shared features between the two system s. We then leverage this information to identify related features between the two systems. In this talk\, I will briefly explain the mathematics und erlying the analogous bars method. I will then present applications of the method in studying neural population coding and propagation on simulated and experimental datasets. This work is joint work with Gregory Henselman- Petrusek\, Lori Ziegelmeier\, Robert Ghrist\, Spencer Smith\, Yiyi Yu\, an d Chad Giusti.\n LOCATION:https://researchseminars.org/talk/GEOTOP-A/66/ END:VEVENT END:VCALENDAR