8 November 2022
Colloquium by Prof. Dr. Stefan Haufe, Technische Universität Berlin
In this lecture, we will present (to some degree) novel techniques for robustly estimating linear and non-linear (such as phase-amplitude coupling, PAC) functional interactions between neural time series, as well as techniques for measuring delays, under source mixing. We will also present extensive simulations studying how source mixing affects ROI-to-ROI connectivity, PAC and delay estimates, as well as complex network measures derived from M/EEG data. We will also introduce a novel EEGlab plugin implementing our current best practice recommendations, and show some results on the normative modeling of functional connectivity on large M/EEG datasets.
Further information about the speakers can be found
The talk is part of the SFB 936 Methods Academy and will be streamed live via Zoom:
Contact the SFB secretariat to get access.
Date and time: Thursday, 08.11.2022, 10:00 Zoom lecture