EEGLAB 2017 Israel

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The outer gate, well, and tamarisk tree at Tel Beersheba


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:

Registration cost is $220. Please go here to register. For inquiry about the workshop and accommodation, please contact the local organizer Noam Roth.

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
8:30 – 9:45 -- Mining event-related brain dynamics I (Scott Makeig) PDF
9:45 – 10:15 -- EEGLAB overview (Arnaud Delorme) PDF‎
-- Break--
10:30 – 11:30 -- ICA theory (Scott Makeig) PDF‎
11:30 – 12:30 -- Data import, Artifact rejection (John Iversen) PDF
13:00-14:00 Lunch --
14:00 – 14:30 -- Data import, Artifact rejection...continued (John Iversen)
ICA and time-frequency
14:30 – 16:00 -- ICA decomposition practicum (John Iversen) PDF
-- Break--
16:15 – 17:15 -- Time-frequency decompositions: Theory and practice (John Iversen) PDF
-- Break--
17:30 – 19:30 -- Poster session
19:45 -- Dinner

Monday, October 16th

Group analysis and ICA clustering in EEGLAB
8:45 - 9:15 -- Why cluster ICA components? (Scott Makeig) PDF
9:15 - 10:15-- Robust statistics and correction for multiple comparisons (Arnaud Delorme) PDF
-- Break--
10:45 - 11:30 -- Creating a STUDY, STUDY design, and basic plotting (Arnaud Delorme) PDF
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
8:45 – 9:30 -- Forward and inverse modeling (Scott Makeig) PDF
9:30 – 10:00 -- DIPFIT practicum (Arnaud Delorme) PDF
-- Break--
General Linear Modeling
10:15 – 12:00 -- Theory and practice of applying general linear models to EEG data using the LIMO EEGLAB plug-in (Arnaud Delorme) PDF
12:00 – 12:30 -- Scripting in EEGLAB (Arnaud Delorme) PDF (oddball_file.bdf)
12:30-13:30 Lunch --
13:30 – 15:00 -- Scripting in EEGLAB (Arnaud Delorme) continued ...
-- Break--
15:15 – 15:45 -- Miscellaneous Topics (Scott Makeig) PDF
15:45 – 16:00 -- MEEG (John Iversen) PDF
Source information flow
16:00 – 18:00 -- Source information flow and Granger-Causal modeling tools (John Iversen) PDF
-- Dinner --

Wednesday, October 18th

8:45 – 9:30 -- Mining event-related brain dynamics II (Scott Makeig) PDF
9:30 – 10:00 -- Practicum, small group projects possible exercices
-- Break--
10:15 – 11:30 -- Practicum, small group projects
11:30 – 12:00 -- Participant project presentations and general discussion
-- Workshop ends--