BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Decoding of neural data using cohomological learning
DTSTART:20180302T140000
DTEND:20180302T150000
DTSTAMP:20260501T160518Z
UID:5b1d86ac2fd3fde8aec0228b64c10251c3cc0036ba80cfaf5eab6383
CATEGORIES:Conferences - Seminars
DESCRIPTION:Erik Rybakken (NTNU)\nWe introduce a novel data-driven approac
 h to discover and decode features in the neural code coming from large pop
 ulation neural recordings with minimal assumptions\, using cohomological l
 earning. We apply our approach to neural recordings of mice moving freely 
 in a box\, where we find a circular feature. We then observe that the deco
 ded value corresponds well to the head direction of the mouse. Thus we cap
 ture head direction cells and decode the head direction from the neural po
 pulation activity without having to process the behaviour of the mouse.
LOCATION:Campus Biotech\, B1.05_Videoconf
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR