B&C Tuesday Seminar "Magnetoencephalography now and how to move forward"

23.01.2024 12:15 – 13:15

Magnetoencephalography (MEG) provides a unique combination of spatial and temporal resolution for studying the human brain in action. While MEG measurement technology is mature for rigorous basic research and routine clinical investigations, the richness of MEG data is not fully exploited yet but calls for more advanced analysis approaches.

In this talk, I will first cover the neurophysiology underlying MEG signals and the basics of MEG instrumentation. I will then illustrate how artificial intelligence can be used to facilitate the analysis MEG signals, providing examples on error processing, motor imagery and selective auditory attention in the human brain. I will also discuss how such paradigms can be applied in brain–computer interfaces. I will also argue that applying normative modelling and artificial intelligence to MEG signals could help in deriving disease-specific biomarkers.


Bâtiment: Campus Biotech

H8-01-D and Zoom
Meeting ID : 626 9444 4617
Passcode : 617330

Organisé par

Département de neurosciences fondamentales


Lauri Parkonnen, Aalto University, Finland

entrée libre


Catégorie: Séminaire

Mots clés: MEG#, AI#, BCI#, MNE#

Plus d'infos


Contact: missing email

Fichiers joints

Flyer_Parkkonen.pdf186.4 Kb