20
OKT

Machine learning for electrophysiological data

Vortrag
Breite Öffentlichkeit
20.10.2026 10:15 - 12:00
+ Hybridveranstaltung)

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

 Link zur Online-Veranstaltung

Wo?
Standort PER 21 / Raum E120
Boulevard de Pérolles 90, 1700 Fribourg
Website
https://digital-neuroscience.human-ist.ch/visionary-lectures
Organisation
sp-MSc Digital Neuroscience, Human-IST Institute
Samy Rima
msc-dn@unifr.ch
Boulevard de Pérolles 90
1700 Fribourg
Vortragende / Mitwirkende
Athina Tzovara, Institute of Computer Science, University of Bern
Anhänge
  SDN.00003_SA26_Poster_06_Tzovara.pdf

REIHE von Veranstaltungen:
Visionary Lectures AS26: Current Topics in Digital Neuroscience

Weekly seminar series of the specialised Master in Digital Neuroscience (SDN.00003). Researchers and founders from Swiss and European labs show where neuroscience, AI and technology meet, from molecules and neurons to brains, machines and society.

Tuesdays, 10:15–12:00, PER 21, Boulevard de Pérolles 90, Fribourg (room given for each talk).
Join online (Microsoft Teams): https://teams.microsoft.com/meet/342665997733010?p=lnLvIRTCSIZ07fH8fC
Talks in English. Open to all, no registration.
Full programme: https://digital-neuroscience.human-ist.ch/visionary-lectures
 

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