EEGLAB 2011 Aspet
Contents |
Thirteenth EEGLAB Workshop
Aspet, France - June 20-23, 2011
The 13th EEGLAB Workshops will take place from Monday June 20th through Thursday June 23rd in the village of Aspet in the Pyrenees mountains in France. Participants will be expected to bring laptops with Matlab installed so as to be able to participate in the practical sessions. The workshops will consist of two parts: the first part on Monday June 20th is an advanced single-trial EEG processing one-day symposium will be held. Speakers will include S. Makeig (US), A. Delorme (FR/US), T. Mullen (US), M. Congedo (FR), O. David (FR), C. Benar (FR), B. Burle (FR), G. Rousselet (UK), C. Perret (UK), R. Oostenveld (NL). The second part on Tuesday, June 21 through noon on Thursday, June 23, will introduce and demonstrate the use of EEGLAB-linked tools for performing advanced analyses of EEG and related data, with detailed method expositions and practical exercises.
Downloads
To access the talk slides and videos, use the links in the Program listing above! Slides will be made available during the workshop.
You may also download and uncompress the anonymized data used in the workshop below.
EEGLAB The latest version of EEGLAB 10.2.2.3b.
Evaluate ICs example dataset Download example data used in 'Evaluate ICs' tutorial for component properties discussion.
Tutorial scripts Download scripts and data for tutorial sessions with scripting components.
EEGLAB dataset: single subject This dataset will be used for the first few Tutorial sessions.
(smaller) EEGLAB dataset: single subject This is the same dataset as above but is cut down in size for people who are encountering memory issues with the full dataset.
EEGLAB STUDY with 13 subjects (2.3 GB) This is a VERY large file and may fail the first few times you try. Make sure you have a fast and reliable Internet connection before attempting this download.
EEGLAB STUDY with 5 subjects (1.8 GB) Optional download for more STUDY exploration.
The following files are needed for the Source Information Flow Toolbox practicum:
Please visit the SIFT website and download all files (SIFT Toolbox, ARFIT toolbox, and Sample Data (143 Mb). It is also highly recommended that you download the SIFT Handbook/Manual as we will use this for exercises.
Costs
To reimburse travel expenses of Workshop faculty and facilities rental, costs for the workshop will be as follows:
Registration costs are the following: three day workshop + Symposium (June 20st to 23rd): 290 euros for students and post-doc and 440 euros for faculty. This includes conference room rental, the shuttle from Toulouse airport to Aspet (about 1 hour) and back, all coffee breaks, and a short excursion by bus to the Pyrenees mountains. In addition, 360 euros is the total cost of lodging for 4 days in a private room and all meals (to be paid with registration costs). Note that this is a non-profit event and that none of the faculties are compensated.
Registration is open on a first come first serve basis. Based on experience from previous workshops, we expect the workshop will fill up within a few days, so do not wait to register (space is limited to 40 participants). Registration closes when the workshop is at capacity.
Please register here. For participants affiliated with a laboratory in France, please contact Sylvie Cabal as the registration process is different.
Relevant reading material:
EEGLAB graphic interface is built on top of the powerful Matlab scripting language. Enjoying the full capabilities of EEGLAB for building macro commands and performing custom and automated processing requires the ability to manipulate EEGLAB data structures in Matlab. Because of time constrains, we will NOT provide an introduction to the Matlab language. Instead users need to familiarize themselves with Matlab prior to the workshop. Users of Matlab 7: we recommend running the following demos and reading the following help sections.
After opening the Matlab desktop, select menu item "Help Demos" and run the following demos. Note that while the demo is running, you can retype the text (or copy it) to the main Matlab window:
- Mathematics - Basic Matrix Operations
- Mathematics - Matrix manipulations
- Graphics - 2-D Plots
- Programming - Manipulating Multidimentional arrays
- Programming - Structures
In the Help Content, read and practice at least the following sections:
- Getting Started - Matrices and Arrays - Matrices and Magic squares
- Getting Started - Matrices and Arrays - Expressions
- Getting Started - Matrices and Arrays - Working with Matrices
- Getting Started - Graphics - Basic plotting functions
- Getting Started - Programming - Flow Control
- Getting Started - Programming - Other data structures
- Getting Started - Programming - Scripts and Functions
Each section or demo (if read thoroughly) should take you about 10 minutes, for a total here of about 2 hours. We encourage you to watch these demos and read these sections over several days.
If you do not have access to the Matlab demos, here is a short online introduction to Matlab (recommended pages, 1 to 12)
IMPORTANT NOTE: A portion of the workshop will be dedicated to writing EEGLAB scripts, so not being able to understand Matlab syntax will result in you missing out on a large portion of the workshop.
EEGLAB WIKI: refer to the EEGLAB wiki for additional help.
Important papers describing EEGLAB processing:
Delorme, A., Makeig, S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods. 2004; Mar 15; 134(1):9-21.
Makeig, S., Debener, S., Onton, J., Delorme, A. Mining event-related brain dynamics. Trends Cogn Sci. 2004; May; 8(5):204-10.
Jung, TP, Makeig, S, Westerfield, M, Townsend, J, Courchesne, E, Sejnowski, TJ. Analysis and visualizaion of single-trial event-related potentials. Human Brain Mapping. 2001; 14(3), 166-185.
Delorme, A., Sejnowski, T., Makeig, S. Improved rejection of artifacts from EEG data using high-order statistics and independent component analysis. Neuroimage. 2007; 34, 1443-1449.
Delorme, A., Palmer, J. Oostenveld, R., Onton, J., Makeig, S. Comparing results of algorithms implementing blind source separation of EEG data. unpublished manuscript.
Onton J, Delorme, A., Makeig, S. Frontal midline EEG dynamics during working memory. NeuroImage. 2005;27, 341-356
Material for download
Please download the following programs
To be posted here at a later date.
Workshop Program (with corresponding PDFs)
Purple lettering = lecture
Orange lettering = tutorial
Sunday, June 19
- 16:30 -- train station shuttle pick up
- 17:00 -- shuttle aiport pick up
- 19:00 -- diner (included in registration)
Monday, June 20st - Symposium on EEG advanced signal processing
- 7:00 - 8:45 Breakfast
- 8:45 – 9:00 -- Arnaud Delorme, opening remarks.
- Independent component analysis (moderator Guillaume Rousselet)
- 9:00 – 9:30 -- Arnaud Delorme, Toulouse, France & San Diego, USA. More independent ICA decompositions are more biologically plausible.
- 9:30 – 10:00 -- Scott Makeig, San Diego, USA. Mobile brain imaging: ICA based analysis methods and directions.
- 10:00 – 10:30 -- Marco Congedo, Grenoble, France. Recent Advances on Joint EEG Decomposition and Sparse Spatially Filtered Classification.
- -- Break--
- EEG spatio-temporal analysis methods (moderator Tim Mullen)
- 11:00 – 11:30 -- Boris Burle, Marseille, France. Improving spatial (and temporal...) resolution of EEG: different methods, different assumptions...
- 11:30 - 12:00 -- Christian Benar, Marseille, France. Investigation of networks involved in interictal epileptiform discharges by MEG and intracerebral EEG
- -- Lunch Break (included in registration)--
- EEG statistical analysis (moderator Scott Makeig)
- 1:30 – 2:00 -- Robert Oostenveld, Nijmegen, The Nederlands. Randomization tests as a general workhorse for statistical inference on EEG data.
- 2:00 – 2:30 -- Cyril Pernet, Edinburg, UK. Hierarchical Linear Modeling for MEEG data: current approaches and future directions PDF
- 2:30 – 3:00 -- Guillaume Rousselet, Glasgow, UK. Robust statistics for EEG data analyses: central tendency, dispersion, and inferences. PDF
- -- Break--
- EEG causal network analysis (moderator Christian Benar)
- 3:30 – 4:00 -- Tim Mullen, San Diego, USA. Modeling multivariate EEG source information flow using adaptive vector autoregressive models.
- 4:00 – 4:30 -- Olivier David, Grenoble, France. Dynamic causal modeling.
- 4:30 – 5:00 -- General discussion.
- 5:00 -- Symposium ends.
- 5:30 – 6:30 -- Matlab refresher course (optional).
Tuesday, June 21st
- 7:30 - 8:30 Breakfast
- Overview and ICA Theory/Practice
- 12:00-13:00 Lunch --
- ICA, time-frequency and information flow
- -- Break –
- 15:30 – 16:30 -- SIFT toolbox: Information flow and granger causality tools (Tim Mullen) PDF, SIFT manual
- 16:30 – 17:30 -- SIFT toolbox: practicum (Tim Mullen)
- 17:30 – 19:00 -- Data and workstation available
- 19:00 -- Dinner
Wednesday, June 22nd
- 7:30 - 8:30 Breakfast
- Source Localization
- -- Break--
- Component Clustering
- 12:00-13:00 Lunch --
- Processing multiple subjects using STUDY tools
- 15:30-18:00-- Excursion to Saint-Bertrand-de-Comminges
- 19:00 -- Dinner
Thursday, June 23rd
- 7:30-8:30 -- Breakfast
- -- Break--
- 10:30 – 11:30 -- Practicum, project available
- 11:30 – 12:00 -- Participant project presentation and general discussion
- 12:00 -- Lunch
- 13:30 -- Airport/train station shuttle leaves
