BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Department of Experimental Statistics Seminar: Vasileios Marou
 las
X-WR-TIMEZONE:Central Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260814T001032Z
UID:tag:localist.com\,2008:EventInstance_47925173874879
DTSTART:20241108T193000Z
DTEND:20241108T202000Z
DESCRIPTION:The brain's spatial orientation system relies on specific neuro
 n groups for navigation\, such as head direction cells for orientation and
  grid cells for mapping environments. These neurons work together in patte
 rns\, firing simultaneously to create directional and positional signals. 
 To better understand and decode these patterns\, we developed a new topolo
 gical deep learning model that goes beyond traditional graph-based approac
 hes. Our model\, a simplicial convolutional recurrent neural network\, use
 s topological structures to capture complex neural relationships. This met
 hod allows us to predict head direction and location from neural data with
 out needing prior similarity measures\, proving effective in head directio
 n and trajectory prediction.
LOCATION:Coates Hall\, 145
SUMMARY:Department of Experimental Statistics Seminar: Vasileios Maroulas
URL;VALUE=URI:https://calendar.lsu.edu/event/department-of-experimental-sta
 tistics-seminar-vasileios-maroulas
CATEGORIES:Lectures & Presentations
END:VEVENT
END:VCALENDAR