Access the program by selecting the appropriate tab.
Overview and ICA Theory/Practice
8:30 – 9:45 – Mining event-related brain dynamics I (Scott Makeig)
9:45 – 10:15 – EEGLAB overview (Arnaud Delorme)
Coffee break
10:30 – 11:30 – Data import, Preprocessing, Artifact rejection (Julie Onton)
11:30 – 12:30PM – ICA theory, AMICA, and tools (Scott Makeig)
Lunch on your own
ICA, ASR, and time-frequency
1:30PM – 2:45PM – ICA decomposition practicum (Julie Onton)
2:45PM – 3:15PM – ASR performance analysis (TP student)
3:15PM – 3:45PM – Automated artifact rejection using ICLabel (TBD)
Coffee break
4:00PM – 5:15PM – Time-frequency decompositions: Theory and practice (Arnaud Delorme)
5:15PM-5:40PM - The PowPowCAT plug-in (Makoto Miyakoshi)
5:40PM – 6:00PM – Work on projects or exercises, helpers available
6:30 PM -- Optional birds-of-a-feather group dinners I (sign-up sheets at the registration table)
Group analysis in EEGLAB
8:30 - 9:15 – Creating a STUDY and STUDY design for group analysis (Arnaud Delorme)
9:15 - 9:45 – Running group-level statistics in EEGLAB and LIMO (Arnaud Delorme)
9:45 - 10:15 – Basic scripting in EEGLAB (Arnaud Delorme)
Coffee break
10:30 - 11:15 – Advanced scripting in EEGLAB (Arnaud Delorme)
Clustering of ICA components
11:15 - 11:45 – Why cluster ICA components? (Scott Makeig)
11:45 - 12:30 – ICA component clustering and plotting; applications (Julie Onton)
Lunch on your own
Lab Streaming Layer (LSL) for multimodal data collection until 3:30 PM
Access the program by selecting the appropriate tab
Hiking excursion (return 6PM)
6:30 PM -- Optional birds-of-a-feather group dinners (sign-up sheets at the registration table)
Source Localization
8:30 – 10:00 – Forward and inverse models (Yahya Shirazi)
10:00 – 10:30 – Using the Dipfit plugin of EEGLAB (Arnaud Delorme)
Coffee break
Deep learning and EEG
10:45 – 11:30 – Introduction to Deep Learning and EEG (Arnaud Delorme)
11:30 – 12:00 – Formatting of EEG data for DL application (Arnaud Delorme)
12:00 – 12:30 – EEG and Deep Learning, TBD
Lunch on your own
Source information flow
1:30PM – 2:30PM – Source information flow and Granger-Causal modeling tools (Tim Mullen)
2:30PM – 2:50PM – The ROI connect EEGLAB plugin (Arnaud Delorme)
2:50PM – 3:30PM – SIFT toolbox: practicum (Arnaud Delorme)
Coffee break
8:30 – 9:30 – Mining event-related brain dynamics II (Scott Makeig)
9:30 – 10:30 – Practicum, small group projects
Coffee break
10:45 – 11:30 – Practicum, small group projects
11:30 – 12:00 – Participant project presentations and general discussion
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