@@ -132,26 +132,23 @@ laptop with MATLAB installed.
132132
133133** Group analysis and ICA clustering in EEGLAB**
134134
135- <span style =" color : purple " >8:30 - 9:15 -- Why cluster ICA components? (Scott Makeig)</span >
135+ <span style =" color : purple " >8:30 - 9:00 -- Why cluster ICA components? (Scott Makeig)</span >
136136
137- <span style =" color : purple " >9:15 - 10:30 -- Creating a STUDY using BIDS and preprocessing data (Arnaud Delorme)</span >
137+ <span style =" color : orange " >9:00 – 9:30 -- Finding the best parameter for clean_rawdata/ASR (Fiorenzo Artoni)
138+
139+ <span style =" color : orange " >9:30 – 10:00 -- PCA vs. ICA and bootstraping ICA using RELICA (Fiorenzo Artoni)
138140
139141<span style =" color : green " >-- Break--</span >
140142
141- <span style =" color : purple " >10:30 - 11:30 -- GLM and (Cyril Pernet)</span >
142- <!-- [PDF](https://github.com/sccn/sccn.github.io/files/11954943/cluster.statistics.pdf)-->
143+ <span style =" color : purple " >10:30 - 11:00 -- The Brain Imaging Data Structure (Robert Oostenveld / Cyril Pernet)</span >
143144
144- <span style =" color : purple " >11:30 - 12:45 -- Processing data using LIMO (Cyril Pernet)</span >
145- <!-- [PDF](https://github.com/sccn/sccn.github.io/files/11954943/cluster.statistics.pdf)-->
145+ <span style =" color : purple " >11:00 - 12:30 -- Creating a STUDY using BIDS and preprocessing data (Arnaud Delorme)</span >
146146
147- <span style =" color : green " >12:45 -14:00 Lunch --</span >
147+ <span style =" color : green " >12:30 -14:00 Lunch --</span >
148148
149149<!-- -->
150- <span style =" color : orange " >14:00 – 14:30 -- Finding the best parameter for clean_rawdata/ASR (Fiorenzo Artoni)
151-
152- <span style =" color : orange " >14:30 – 15:30 -- PCA vs. ICA and bootstraping ICA using RELICA (Fiorenzo Artoni)
153-
154- <span style =" color : orange " >15:30 – 16:00 -- What are EEG microstates? (Fiorenzo Artoni)
150+ <span style =" color : purple " >14:00 - 16:00 -- GLM, LIMO and more (Cyril Pernet)</span >
151+ <!-- [PDF](https://github.com/sccn/sccn.github.io/files/11954943/cluster.statistics.pdf)-->
155152
156153<span style =" color : green " >-- Break--</span >
157154
@@ -166,18 +163,19 @@ laptop with MATLAB installed.
166163
167164<span style =" color : green " >7:30 - 8:30 Breakfast</span >
168165
169-
170- ** Time-frequency analysis**
166+ ** Advanced EEG signal processing methods**
171167
172168<span style =" color : purple " >8:30 – 9:30 -- Time-frequency decompositions: Theory and practice (Scott Makeig)</span >
173169
174- <span style =" color : green " >-- Break--</ span >
170+ <span style =" color : orange " >9:30 – 10:00 -- What are EEG microstates? (Fiorenzo Artoni)
175171
172+ <span style =" color : green " >-- Break--</span >
176173
177174** General Linear Modeling**
178175
176+ <span style =" color : orange " >10:20 - 11:30 -- Correcting for multiple comparisons (Cyril Pernet)
179177
180- <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) -->
178+ <span style =" color : orange " >10:20 - 11:30 -- More STUDY designs and GLM (Cyril Pernet and Arnaud Delorme)
181179
182180<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 >
183181<!-- [PDF](https://github.com/sccn/sccn.github.io/files/11965482/EEGLAB_statistics2022.pdf)-->
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