Pre-conference workshops (11.07).

 

Directed connectvity analysis of EEG/MEG signals (Miroslaw Wyczesany)

TThis hands-on workshop will guide through the analysis of brain communication based on EEG/MEG signals. Some theoretical introduction will be provided. Participants will analyze sample data from raw signal to the testing of research hypotheses. Special focus will be given to step-by-step recommendations to analyze own data.
 

Neuroimaging data analysis (Jakub Szewczyk)

Delve into the fascinating world of neuroimaging data analysis in this hands-on workshop. This workshop is designed to introduce and deepen your understanding of advanced fMRI data analysis techniques (not only fMRI, but also EEG/ERP examples will be also given), focusing on the following key areas:

• Voxelwise Encoding Modelswith Ridge Regression: Learn how to apply ridge regression to fMRI data to predict neural activity patterns. This session will cover the principles of voxelwise encoding models, including how to select and apply the optimal regularization parameter for your data.
• Representational Similarity Analysis (RSA): Dive into RSA, a powerful method to compare patterns of neural activity across conditions. Understand how to construct and interpret similarity matrices, and how to use RSA to uncover the representational structure of cognitive processes in the brain.

This workshop is an excellent opportunity for MA and PhD students interested in cognitive neuroscience and neuroimaging to gain practical experience in cutting-edge neuroimaging analysis techniques. It will consist of a theoretical introduction and a practical hands-on programming session using Python/numpy/scikit-learn (so at least rudimentary knowledge of Python is recommended). Due to the practical character of the workshop, participation is limited to 15 attendees. Please send a short info about yourself, your interests, experience with any neuroimaging method and programming.