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VERSION:2.0
PRODID:-//UNIFR/WEBMASTER//NONSGML v1.0//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261020T101500
DTEND;VALUE=DATE:20261020T120000
UID:20470@agenda.unifr.ch
DESCRIPTION:Visionary Lecture with Athina Tzovara (Institute of Computer Science, University of Bern).\n\nInvasive and non-invasive electrophysiology for studying sleep and wake function in humans, then machine learning and computational tools applied to those signals to probe brain function and dysfunction, from sleep staging to coma prognosis.\n\nJoin in PER 21, room E120, or online via Microsoft Teams. Talk in English. Open to all, no registration.
SUMMARY:Machine learning for electrophysiological data
CATEGORIES:Conférence
LOCATION:PER 21\, E120\, Boulevard de Pérolles 90\, 1700 Fribourg
URL;VALUE=URI:https://agenda.unifr.ch/e/fr/20470
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