Agenda

20
Oct

Machine learning for electrophysiological data

General public Lecture
20.10.2026 10:15 - 12:00
+ Mixed

Visionary Lecture with Athina Tzovara (Institute of Computer Science, University of Bern).

Invasive 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.

Join in PER 21, room E120, or online via Microsoft Teams. Talk in English. Open to all, no registration.


When? 20.10.2026 10:15 - 12:00
Online Microsoft Teams, same link for every session of the series

 Online event link

Where? PER 21 E120
Boulevard de Pérolles 90, 1700 Fribourg 
speaker Athina Tzovara, Institute of Computer Science, University of Bern
Contact sp-MSc Digital Neuroscience, Human-IST Institute
Samy Rima
msc-dn@unifr.ch
Boulevard de Pérolles 90
1700 Fribourg
More on  Website
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