Thirty-first EEGLAB Workshop

The 31st EEGLAB Workshop will take place from Monday, June 15 through Friday, June 19 in Lublin, Poland, about 3 hours by train from Warsaw. Participants will be expected to bring laptops with Matlab installed so as to be able to participate in the practical sessions. The tutorial workshop will introduce and demonstrate the use of the EEGLAB software environment and EEGLAB-linked tools for performing advanced analysis of EEG and related data, with detailed method expositions and practical exercises. There will be a poster session for participants and an excursion.

Registration and cost

Space at the workshop is limited to about 40 participants. Participants will be accepted based on their academic background, motivation and submission for the poster session.

To reimburse travel expenses of Workshop faculty and facilities rental, costs for the workshop will be as follows:

Registration cost is 300 Euros for students and post-docs, 350 Euros for faculty and other professional. The registration costs includes conference space rental, all coffee breaks, and a short excursion. The event is patronized by the Polish Neuroscience Society.

Registration: Please follow this link to register. Registration is open until 29th February, 2020. Each submission will be evaluated by the 20th of March, 2020.

Notifications of acceptance: will be sent via email till 20 March 2020.

Warning: This workshop is not aimed for real beginners in EEG and Matlab – such persons would be wasting much of their time. Some parts of the workshop are fairly technical. The main topics will be advanced methods for analyzing EEG and allied behavioral data, methods including spectral decomposition, independent component analysis, inverse source analysis, information flow, etc.. Some other parts of the workshop will require basic Matlab scripting capabilities. Some basic web resources for learning Matlab are discussed below. Beginners may also gain experience using Matlab by applying the steps discussed in the EEGLAB wiki tutorial to the sample dataset which you can freely download.