2021 Virtual EEGLAB Workshop Pacific/Asia
From November 29 to December 3, the 31st EEGLAB workshop will be held online in a virtual brain conference site on GatherTown. The first day will be free for all and will feature lectures and social events. The workshop will feature lectures on how to process data using EEGLAB, including scripting and the use of multiple plug-ins. Parallel sessions will discuss specific topics, particularly wearable EEG, deep learning and EEG, connectivity analysis, and EEG.
Register for the free first day session, Monday November 29th here.
Register for the workshop sessions, Tuesday-Friday November 30th-December 3rd here. Note: You must register twice (once for November 29th and once for November 30th-December 3rd) if you want to attend the whole event.
We are looking forward to meeting you online…
期待在第31届EEGLAB研讨会上见到您 - 鍾子平 （ 聖地牙哥加大 史沃茲電腦運算神經科學中心 副主任 ; 國立陽明交通大學 客座教授 ; 國立清華大學 講座教授 ; 天津大學 合聘教授 )
第31回EEGLABワークショップでお会いしましょう 宮腰誠 (カリフォルニア大学サンディエゴ校 スウォーツ計算神経科学センター プロジェクトサイエンティスト)
Below is a still-provisional program for the 2021 Virtual EEGLAB Workshop (suggestions/requests welcome). The workshop will be held online, with social networking possible in the GatherTown environment. All hours are shown in Pacific Standard Time (PST) but you can click on the relevant time zone. The time has been arranged to accommodate America and Asia time zones waking hours. ‘Night owl’ participants from elsewhere are welcome as well.
Some presentations might be pre-recorded, but presenters will be present for questions.
Note: Gather.town has a free public sample site for learning how to get around, attend events, and meet people in Gather.town - we highly recommend you try out their live walkthrough before the Workshop begins.
Time zone: All the times below are shown in California (Pacific Standard) Time. Click on one of the time zone boxes below to select your time zone.
MONDAY, November 29th (open to all; free registration required)
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05:30pm– 06:00pm – Registration open; come explore the workshop Gather.Town site. Hang out and socialize with new and old friends …
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06:00pm– 06:55pm – Gather in the Gather.Town workshop site. Meet the tutors.
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06:00pm– 06:45pm – Basic elements of MATLAB scripting for EEGLAB (for beginners; Clement Lee)
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07:00pm– 08:10pm– What's new in EEGLAB? (Arnaud Delorme)
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08:15pm– 09:00pm – Mining event-related brain dynamics I (Scott Makeig)
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09:00pm- 10:00pm - Parallel participant poster presentations in the Poster Hall. Note that you must register for the whole workshop to present a poster.
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10:00pm- 11:45pm - Advanced Topics
Parallel session 1 - Analysis of 'wearably' acquired EEG data
- 10:00pm- 10:30pm - Practical applications of wearable EEG (Tzyy Ping Jung)
- 10:30pm- 11:15pm - Mobile Brain/Body Imaging (MoBI) (John Iversen)
- 11:15pm- 11:45pm - EEG and TMS review (Mateusz Gola)
Parallel session 2 - Neuroinformatics using BIDS and HED
- 10:00pm- 10:30pm - 3rd-gen Hierarchical Event Descriptors (HED) (D. Truong)
- 10:30pm- 11:10pm - What is BIDS 'Brain Imaging Data Structure'? (C. Pernet)
- 11:10pm- 11:45pm - The EEGLAB BIDS data I/O plug-in (Dung Truong & Arnaud Delorme)
TUESDAY, November 30th (paid registration required)
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06:00pm– 06:45pm – EEGLAB data import and 'bad' data visualization (Julie Onton)
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07:00pm– 08:00pm – Time-frequency decomposition: Theory (John Iversen)
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08:00pm– 09:00pm – ICA theory (Scott Makeig)
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09:00pm– 09:30pm – Social time. Tutors available for Q&A
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09:30pm- 11:45pm - Advanced Topics
Parallel session 1 - Time-frequency and connectivity analysis
- 09:30pm- 10:30pm - Time-frequency PRACTICUM in EEGLAB (John Iversen)
- 10:30pm- 11:00pm - Phase/amplitude coherence (PAC) plugin (Ramon Martinez Cancino)
- 11:00pm- 11:45pm - The PowPowCAT plug-in (Makoto Miyakoshi)
Parallel session 2 - Lab Streaming Layer (LSL) for multimodal data collection
- 09:30pm- 09:45pm - LSL introduction and demonstration (Christian Kothe)
- 09:45pm- 10:00pm - The lsl_app_matlabviewer EEGLAB plugin (Arnaud Delorme)
- 10:00pm- 10:30pm - LSL synchronization and other topics (Christian Kothe)
- 10:30pm- 11:00pm - Tiny devices & time synchronization (Tristan Stenner)
- 11:00pm- 11:30pm - LSL troubleshooting I (David Medine)
- 11:30pm- 11:45pm - LSL wrap up (Tim Mullen)
WEDNESDAY, December 1st (paid registration required)
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06:00pm– 06:45pm – ICA decomposition PRACTICUM (Julie Onton)
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07:00pm– 08:00pm – Forward & inverse head modeling (Zeynep Akalin Acar)
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08:00pm– 09:00pm – EEG connectivity analysis (Tim Mullen)
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09:00pm– 09:30pm – Social time. Tutors available for Q&A.
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09:30pm- 11:45pm - Advanced Topics
Parallel session 1 NFT/NIST high-res. source imaging plug-ins
- 09:30pm- 10:00pm - High-resolution source imaging (Zeynep Akalin Acar)
- 10:00pm- 11:45pm- NFT/NIST demo and PRACTICUM (Zeynep Akalin Acar)
Parallel session 2 - Connectivity analysis
- 09:30pm- 10:00pm - The DIPFIT and ROIconnect plug-ins (Arnaud Delorme)
- 10:00pm- 10:45pm - Connectivity analysis using SIFT (Tim Mullen)
- 10:45pm- 11:45pm- SIFT PRACTICUM (Tim Mullen)
THURSDAY, December 2nd (paid registration required)
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06:00pm– 06:45pm – ICA clustering PRACTICUM (Julie Onton)
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07:00pm- 08:00pm – EEGLAB group analysis (Arnaud Delorme)
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08:00pm- 09:00pm – Multiple comparisons corrections and the use of bootstrap (Cyril Pernet)
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09:00pm– 09:30pm – Social time. Tutors available for Q&A.
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09:30pm- 11:45pm - Advanced Topics
Parallel session 1 - Linear statistical modeling of EEG data
- 09:30pm- 10:00pm - Introduction to linear modeling (Arnaud Delorme)
- 10:00pm- 10:30pm - Statistics using linear modeling (Cyril Pernet)
- 10:30pm- 11:45pm - EEGLAB LIMO plug-in PRACTICUM (Cyril Pernet & Arnaud Delorme)
Parallel session 2 - Advanced ICA analysis
- 09:30pm- 10:15pm - AMICA and AMICA Tools (Scott Makeig & Jason Palmer)
- 10:15pm- 10:45pm - IMAT: Independent Modulator Analysis plug-in (Wagner & Onton)
- 10:45pm- 11:45pm - ICA reliability analysis (Fiorenzo Artoni)
FRIDAY, December 3rd (paid registration required)
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06:00pm– 06:45pm – Network. Tutors available for Q&A.
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07:00pm– 08:30pm – Mining event-related brain dynamics II (Scott Makeig)
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08:30pm– 09:00pm – Deep learning for EEG - the HBN benchmark dataset (Delorme)
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09:00pm– 09:30pm – Social time. Tutors available for Q&A.
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09:30pm- 11:45pm - Advanced Topics
Parallel session 1 - Group analysis, pipelines, and scripting in EEGLAB
- 09:30pm- 10:00pm - Creating an EEGLAB STUDY (Arnaud Delorme)
- 10:00pm- 10:45pm- Working with EEGLAB studies, PRACTICUM (Arnaud Delorme)
- 10:45pm- 11:15pm- Scripting with EEGLAB studies, PRACTICUM (Arnaud Delorme)
- 11:15pm- 11:45pm - EEGLAB and high-performance computing (Arnaud Delorme)
Parallel session 2 Automated artifact rejection and component classification
- 09:30pm- 10:00pm - Artifact Subspace reconstruction (Christian Kothe)
- 10:00pm- 10:20pm - ASR performance analysis I (Fiorenzo Artoni)
- 10:20pm- 10:40pm - ASR performance analysis II (Chiyuan Chang)
- 10:40pm- 11:45pm - ICLabel for classifying independent components (Luca Pion Tonachini)
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12:00pm– 12:45pm– Participant presentations and general discussion (All)
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12:45pm– 01:00am– Close
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