Workshop EEG II - Theory meets data: Computational models of brain imaging and behavior

November 3-5, 2025

BEAM Lab (Dr. Paolo Ruggeri, Dr. Jérôme Barral)

PND Lab (Prof. David Pascucci, Dr. Maëlan Menétrey, Junlian Luo, Léa Zamora) 

Translational Psychiatry Lab (Prof. Philipp Sterzer)

Invited speakers

Andria Pelentritou, Post-doctoral researcher, LREN, UNIL/CHUV; Athina Tzovara, Prof. Dr., UNIBE; Joao Barbosa, Group Leader, Institute for Neuromodulation and Neurospin, Paris; Sandra Iglesias, Head of Clinical Research Management, Translational Neuromodeling Unit, ETH Zurich; Charles Findling, Post-doctoral researcher, UNIGE, Group of Prof. Pouget.

General information

This course is designed for PhD students who use or plan to combine computational, behavioral and brain imaging methods, particularly EEG, to test models of brain function in both healthy and clinical populations. It aims to provide a foundation for integrating computational models with brain and behavioral analysis techniques. The first two days will focus on interactive sessions exploring computational and neurobehavioral approaches, followed by a third day featuring short talks on key topics presented by a panel of national and international experts.

Requirements for participation

The primary objective of this course is to promote the consolidation of knowledge related to computational modeling approaches and brain imaging (EEG) in the study of brain functions, both in healthy and clinical populations. Students often face the challenge of testing predictions from computational theories while navigating the overwhelming variety of available brain imaging analysis techniques and features. The course aims to foster an integration of the two approaches, where theory meets data, through an interactive structure that is built from the ground up. The goal is to address the specific research needs of the participants. By engaging with experts through the various activities offered, participants will gain a broad and integrative approach that is tailored to their own ongoing or future projects. Considering the context, it is essential for prospective participants to be able to articulate research hypotheses based on theoretical and computational models and/or on data they currently have or the research projects they aim to establish. To ensure this prerequisite is met, we kindly request that individuals interested in enrolling complete the form by 30/09/2025 : sphinx2.unil.ch/index.php/787126

The information provided will serve two purposes: first, to ensure that all participants come with their own research objectives, and second, to tailor the proposed activities on Monday, 3rd November, and Tuesday, 4th November, to meet these specific needs. This will allow us to align the course content with the individual goals and interests of each attendee.

Evaluation

Write a concluding report that addresses the original research question and hypotheses, integrating insights from the workshop.

Download the full programme here!

UNIL

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