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workshops/EEGLAB_2025_Aspet.md

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**Group analysis and ICA clustering in EEGLAB**
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<span style="color: purple">8:30 - 9:15 -- Why cluster ICA components? (Scott Makeig)</span>
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<span style="color: purple">8:30 - 9:00 -- Why cluster ICA components? (Scott Makeig)</span>
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<span style="color: purple">9:15 - 10:30 -- Creating a STUDY using BIDS and preprocessing data (Arnaud Delorme)</span>
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<span style="color: orange">9:00 – 9:30 -- Finding the best parameter for clean_rawdata/ASR (Fiorenzo Artoni)
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<span style="color: orange">9:30 – 10:00 -- PCA vs. ICA and bootstraping ICA using RELICA (Fiorenzo Artoni)
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<span style="color: green">-- Break--</span>
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<span style="color: purple">10:30 - 11:30 -- GLM and (Cyril Pernet)</span>
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<!--[PDF](https://github.com/sccn/sccn.github.io/files/11954943/cluster.statistics.pdf)-->
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<span style="color: purple">10:30 - 11:00 -- The Brain Imaging Data Structure (Robert Oostenveld / Cyril Pernet)</span>
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<span style="color: purple">11:30 - 12:45 -- Processing data using LIMO (Cyril Pernet)</span>
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<!--[PDF](https://github.com/sccn/sccn.github.io/files/11954943/cluster.statistics.pdf)-->
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<span style="color: purple">11:00 - 12:30 -- Creating a STUDY using BIDS and preprocessing data (Arnaud Delorme)</span>
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<span style="color: green">12:45-14:00 Lunch --</span>
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<span style="color: green">12:30-14:00 Lunch --</span>
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<!-- -->
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<span style="color: orange">14:00 – 14:30 -- Finding the best parameter for clean_rawdata/ASR (Fiorenzo Artoni)
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<span style="color: orange">14:30 – 15:30 -- PCA vs. ICA and bootstraping ICA using RELICA (Fiorenzo Artoni)
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<span style="color: orange">15:30 – 16:00 -- What are EEG microstates? (Fiorenzo Artoni)
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<span style="color: purple">14:00 - 16:00 -- GLM, LIMO and more (Cyril Pernet)</span>
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<!--[PDF](https://github.com/sccn/sccn.github.io/files/11954943/cluster.statistics.pdf)-->
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<span style="color: green">-- Break--</span>
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<span style="color: green">7:30 - 8:30 Breakfast</span>
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**Time-frequency analysis**
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**Advanced EEG signal processing methods**
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<span style="color: purple">8:30 – 9:30 -- Time-frequency decompositions: Theory and practice (Scott Makeig)</span>
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<span style="color: green">-- Break--</span>
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<span style="color: orange">9:30 – 10:00 -- What are EEG microstates? (Fiorenzo Artoni)
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<span style="color: green">-- Break--</span>
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**General Linear Modeling**
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<span style="color: orange">10:20 - 11:30 -- Correcting for multiple comparisons (Cyril Pernet)
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<span style="color: orange">10:15 - 11:30 -- Continued processing of HW dataset (STUDY design) (Arnaud Delorme)</span> <!--[PDF](https://github.com/sccn/sccn.github.io/files/11965428/EEGLAB_WS_Aspet_2023_GroupAnalysis.pdf) (same PDF as previous day)-->
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<span style="color: orange">10:20 - 11:30 -- More STUDY designs and GLM (Cyril Pernet and Arnaud Delorme)
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<span style="color: orange">11:30 – 12:30 -- Theory and practice of applying general linear models to EEG data using the LIMO EEGLAB plug-in (Cyril Pernet)</span>
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<!--[PDF](https://github.com/sccn/sccn.github.io/files/11965482/EEGLAB_statistics2022.pdf)-->

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