EEGLAB 2017 Israel
Twenty-sixth EEGLAB Workshop
Ben-Gurion University/ Beer-Sheva, Israel - October 15-18, 2017
The 26th EEGLAB Workshop will take place from Sunday, October 15th through Friday, October 18th at Ben-Gurion University/ Beer-Sheva. 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.
Registration and cost
To reimburse travel expenses of Workshop faculty and facilities rental, costs for the workshop will be as follows:
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.
Relevant reading material
The EEGLAB graphic interface is built using the powerful Matlab scripting language. Enjoying the full capabilities of EEGLAB for building macro commands and performing custom and automated processing requires basic knowledge of how to manipulate EEGLAB data structures in Matlab. Because of time constraints, we will NOT provide an introduction to Matlab scripting. Instead, attendees must familiarize themselves with Matlab before coming to the workshop.
New users of Matlab: We recommend running the following demos and reading these help sections:
After opening the Matlab desktop, select menu item "Help Demos" and run the following demos. Note that while a 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. If you do not use Matlab regularly, we encourage you to watch these demos, read these sections, and practice using the skills they introduce 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 -- Not being able to understand Matlab syntax will mean you will miss out on a large portion of the workshop.
EEGLAB WIKI: Refer to the EEGLAB tutorial wiki for additional help.
Material for the working (including EEGLAB) will be made available on USB keys during the workshop. Presentation slides will be made available during the workshop. You only need to bring to the workshop a laptop with Matlab installed.
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., Palmer, J. Oostenveld, R., Onton, J., Makeig, S. Independent components of EEG data are dipolar. PLoS ONE. 2012. i7(2):e30135.
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.
Onton J, Delorme, A., Makeig, S. Frontal midline EEG dynamics during working memory. NeuroImage. 2005;27, 341-356
Workshop Program (with corresponding PDFs)
Purple lettering = lecture
Orange lettering = tutorial
Sunday, October 15th
- Overview and ICA Theory/Practice
- 13:00-14:00 Lunch --
- 14:00 – 14:30 -- Data import, Artifact rejection...continued (John Iversen)
- ICA and time-frequency
- 19:45 -- Dinner
Monday, October 16th
- Group analysis and ICA clustering in EEGLAB
- 11:30 - 12:45 -- Group analysis using EEGLAB studies: Methods to cluster ICA components (Arnaud Delorme) PDF
- 12:45-13:45 Lunch --
- 13:45-18:00-- Hiking excursion
- 19:45 -- Dinner
Tuesday, October 17th
- Source Localization
- -- Break--
- General Linear Modeling
- 12:30-13:30 Lunch --
- 13:30 – 15:00 -- Scripting in EEGLAB (Arnaud Delorme) continued ...
- -- Break--
- Source information flow
- 16:00 – 18:00 -- Source information flow and Granger-Causal modeling tools (John Iversen) PDF
- -- Dinner --
Wednesday, October 18th
- -- Break--
- 10:15 – 11:30 -- Practicum, small group projects
- 11:30 – 12:00 -- Participant project presentations and general discussion
- -- Workshop ends--