Number of events 982
Events stimulus/deviant: 199
stimulus/standard: 783
Time range -0.203 – 0.797 s
Baseline off
Epoch # event_name STATUS/1 STATUS/4 stimulus/180 stimulus/deviant stimulus/standard
0 stimulus/standard 0.617 0.000
1 stimulus/deviant 0.000 0.602
2 stimulus/standard 0.000
3 stimulus/standard 0.000
4 stimulus/standard 0.000
5 stimulus/standard 0.000
6 stimulus/standard 0.000
7 stimulus/standard 0.000
8 stimulus/standard 0.000
9 stimulus/standard 0.555 0.000
10 stimulus/deviant 0.000 0.539
11 stimulus/standard 0.555 0.000
12 stimulus/deviant 0.000 0.625
13 stimulus/standard 0.000
14 stimulus/standard 0.602 0.000
15 stimulus/deviant 0.000 0.555
16 stimulus/standard 0.547 0.000
17 stimulus/deviant 0.000 0.609
18 stimulus/standard 0.000
19 stimulus/standard 0.000
20 stimulus/standard 0.000
21 stimulus/standard 0.000
22 stimulus/standard 0.000
23 stimulus/standard 0.000
24 stimulus/standard 0.000
25 stimulus/standard 0.000
26 stimulus/standard 0.000
27 stimulus/standard 0.633 0.000
28 stimulus/deviant 0.000 0.617
29 stimulus/standard 0.609 0.000
30 stimulus/deviant 0.000 0.617
31 stimulus/standard 0.000
32 stimulus/standard 0.000
33 stimulus/standard 0.000
34 stimulus/standard 0.000
35 stimulus/standard 0.000
36 stimulus/standard 0.000
37 stimulus/standard 0.000
38 stimulus/standard 0.000
39 stimulus/standard 0.578 0.000
40 stimulus/deviant 0.000 0.609
41 stimulus/standard 0.000
42 stimulus/standard 0.000
43 stimulus/standard 0.617 0.000
44 stimulus/deviant 0.000 0.609
45 stimulus/standard 0.000
46 stimulus/standard 0.000
47 stimulus/standard 0.555 0.000
48 stimulus/deviant 0.000 0.570
49 stimulus/standard 0.000
50 stimulus/standard 0.000
51 stimulus/standard 0.000
52 stimulus/standard 0.000
53 stimulus/standard 0.000
54 stimulus/standard 0.000
55 stimulus/standard 0.000
56 stimulus/standard 0.000
57 stimulus/standard 0.000
58 stimulus/standard 0.000
59 stimulus/standard 0.000
60 stimulus/standard 0.555 0.000
61 stimulus/deviant 0.000 0.547
62 stimulus/standard 0.578 0.000
63 stimulus/deviant 0.000 0.625
64 stimulus/standard 0.000
65 stimulus/standard 0.000
66 stimulus/standard 0.000
67 stimulus/standard 0.000
68 stimulus/standard 0.000
69 stimulus/standard 0.555 0.000
70 stimulus/deviant 0.000 0.617
71 stimulus/standard 0.000
72 stimulus/standard 0.000
73 stimulus/standard 0.000
74 stimulus/standard 0.602 0.000
75 stimulus/deviant 0.000 0.633
76 stimulus/standard 0.000
78 stimulus/deviant 0.000 0.656
79 stimulus/standard 0.000
80 stimulus/standard 0.000
81 stimulus/standard 0.000
82 stimulus/standard 0.555 0.000
83 stimulus/deviant 0.000 0.570
84 stimulus/standard 0.000
85 stimulus/standard 0.000
86 stimulus/standard 0.000
87 stimulus/standard 0.000
88 stimulus/standard 0.000
89 stimulus/standard 0.000
90 stimulus/standard 0.000
91 stimulus/standard 0.000
92 stimulus/standard 0.000
93 stimulus/standard 0.586 0.000
94 stimulus/deviant 0.000 0.602
95 stimulus/standard 0.000
96 stimulus/standard 0.000
97 stimulus/standard 0.625 0.000
98 stimulus/deviant 0.000 0.570
99 stimulus/standard 0.000
100 stimulus/standard 0.000
101 stimulus/standard 0.000
102 stimulus/standard 0.000
103 stimulus/standard 0.000
104 stimulus/standard 0.625 0.000
105 stimulus/deviant 0.000 0.641
106 stimulus/standard 0.000
107 stimulus/standard 0.000
108 stimulus/standard 0.000
109 stimulus/standard 0.000
110 stimulus/standard 0.602 0.000
111 stimulus/deviant 0.000 0.547
112 stimulus/standard 0.625 0.000
113 stimulus/deviant 0.000 0.586
114 stimulus/standard 0.609 0.000
115 stimulus/deviant 0.000 0.625
116 stimulus/standard 0.609 0.000
117 stimulus/deviant 0.000 0.609
118 stimulus/standard 0.000
119 stimulus/standard 0.000
120 stimulus/standard 0.570 0.000
121 stimulus/deviant 0.000 0.547
122 stimulus/standard 0.000
123 stimulus/standard 0.641 0.000
124 stimulus/deviant 0.000 0.570
125 stimulus/standard 0.609 0.000
126 stimulus/deviant 0.000 0.547
127 stimulus/standard 0.625 0.000
128 stimulus/deviant 0.000 0.539
129 stimulus/standard 0.594 0.000
130 stimulus/deviant 0.000 0.547
131 stimulus/standard 0.000
132 stimulus/standard 0.000
133 stimulus/standard 0.000
134 stimulus/standard 0.000
135 stimulus/standard 0.000
136 stimulus/standard 0.000
137 stimulus/standard 0.000
138 stimulus/standard 0.000
139 stimulus/standard 0.555 0.000
140 stimulus/deviant 0.000 0.594
141 stimulus/standard 0.000
142 stimulus/standard 0.000
143 stimulus/standard 0.000
144 stimulus/standard 0.000
145 stimulus/standard 0.000
146 stimulus/standard 0.555 0.000
147 stimulus/deviant 0.000 0.555
148 stimulus/standard 0.000
149 stimulus/standard 0.000
150 stimulus/standard 0.555 0.000
151 stimulus/deviant 0.000 0.578
152 stimulus/standard 0.000
153 stimulus/standard 0.000
154 stimulus/standard 0.609 0.000
155 stimulus/deviant 0.000 0.586
156 stimulus/standard 0.000
157 stimulus/standard 0.000
158 stimulus/standard 0.523 0.000
159 stimulus/deviant 0.000 0.617
160 stimulus/standard 0.000
161 stimulus/standard 0.633 0.000
162 stimulus/deviant 0.000 0.602
163 stimulus/standard 0.578 0.000
164 stimulus/deviant 0.000 0.562
165 stimulus/standard 0.000
166 stimulus/standard 0.000
167 stimulus/standard 0.000
168 stimulus/standard 0.000
169 stimulus/standard 0.586 0.000
170 stimulus/deviant 0.000 0.570
171 stimulus/standard 0.000
172 stimulus/standard 0.000
173 stimulus/standard 0.000
174 stimulus/standard 0.000
175 stimulus/standard 0.000
176 stimulus/standard 0.000
177 stimulus/standard 0.602 0.000
178 stimulus/deviant 0.000 0.625
179 stimulus/standard 0.000
180 stimulus/standard 0.586 0.000
181 stimulus/deviant 0.000 0.586
182 stimulus/standard 0.000
183 stimulus/standard 0.000
184 stimulus/standard 0.000
185 stimulus/standard 0.000
186 stimulus/standard 0.000
187 stimulus/standard 0.000
188 stimulus/standard 0.617 0.000
189 stimulus/deviant 0.000 0.570
190 stimulus/standard 0.000
191 stimulus/standard 0.000
192 stimulus/standard 0.000
193 stimulus/standard 0.000
194 stimulus/standard 0.562 0.000
195 stimulus/deviant 0.000 0.539
196 stimulus/standard 0.000
197 stimulus/standard 0.000
198 stimulus/standard 0.641 0.000
199 stimulus/deviant 0.000 0.539
200 stimulus/standard 0.000
201 stimulus/standard 0.000
202 stimulus/standard 0.000
203 stimulus/standard 0.555 0.000
204 stimulus/deviant 0.000 0.555
205 stimulus/standard 0.602 0.000
206 stimulus/deviant 0.000 0.562
207 stimulus/standard 0.602 0.000
208 stimulus/deviant 0.000 0.625
209 stimulus/standard 0.000
210 stimulus/standard 0.555 0.000
211 stimulus/deviant 0.000 0.570
212 stimulus/standard 0.000
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214 stimulus/standard 0.000
215 stimulus/standard 0.000
216 stimulus/standard 0.000
217 stimulus/standard 0.000
218 stimulus/standard 0.000
219 stimulus/standard 0.609 0.000
220 stimulus/deviant 0.000 0.602
221 stimulus/standard 0.000
222 stimulus/standard 0.562 0.000
223 stimulus/deviant 0.000 0.594
224 stimulus/standard 0.000
225 stimulus/standard 0.586 0.000
226 stimulus/deviant 0.000 0.547
227 stimulus/standard 0.633 0.000
228 stimulus/deviant 0.000 0.570
229 stimulus/standard 0.000
230 stimulus/standard 0.539 0.000
231 stimulus/deviant 0.000 0.602
232 stimulus/standard 0.570 0.000
233 stimulus/deviant 0.000 0.586
234 stimulus/standard 0.000
235 stimulus/standard 0.594 0.000
236 stimulus/deviant 0.000 0.633
237 stimulus/standard 0.000
238 stimulus/standard 0.617 0.000
239 stimulus/deviant 0.000 0.578
240 stimulus/standard 0.000
241 stimulus/standard 0.000
242 stimulus/standard 0.000
243 stimulus/standard 0.000
244 stimulus/standard 0.000
245 stimulus/standard 0.625 0.000
246 stimulus/deviant 0.000 0.539
247 stimulus/standard 0.000
248 stimulus/standard 0.000
249 stimulus/standard 0.633 0.000
250 stimulus/deviant 0.000 0.539
251 stimulus/standard 0.539 0.000
252 stimulus/deviant 0.000 0.633
253 stimulus/standard 0.000
254 stimulus/standard 0.000
255 stimulus/standard 0.000
256 stimulus/standard 0.000
257 stimulus/standard 0.000
258 stimulus/standard 0.562 0.000
259 stimulus/deviant 0.000 0.570
260 stimulus/standard 0.000
261 stimulus/standard 0.594 0.000
262 stimulus/deviant 0.000 0.570
263 stimulus/standard 0.000
264 stimulus/standard 0.531 0.000
265 stimulus/deviant 0.000 0.586
266 stimulus/standard 0.000
267 stimulus/standard 0.000
268 stimulus/standard 0.000
269 stimulus/standard 0.000
270 stimulus/standard 0.000
271 stimulus/standard 0.000
272 stimulus/standard 0.633 0.000
273 stimulus/deviant 0.000 0.570
274 stimulus/standard 0.602 0.000
275 stimulus/deviant 0.000 0.555
276 stimulus/standard 0.000
277 stimulus/standard 0.617 0.000
278 stimulus/deviant 0.000 0.578
279 stimulus/standard 0.586 0.000
280 stimulus/deviant 0.000 0.547
281 stimulus/standard 0.000
282 stimulus/standard 0.000
283 stimulus/standard 0.000
284 stimulus/standard 0.000
285 stimulus/standard 0.000
286 stimulus/standard 0.000
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288 stimulus/standard 0.000
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290 stimulus/standard 0.000
291 stimulus/standard 0.000
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293 stimulus/standard 0.000
294 stimulus/standard 0.000
295 stimulus/standard 0.000
296 stimulus/standard 0.000
297 stimulus/standard 0.617 0.000
298 stimulus/deviant 0.000 0.609
299 stimulus/standard 0.000
300 stimulus/standard 0.625 0.000
301 stimulus/deviant 0.000 0.547
302 stimulus/standard 0.000
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305 stimulus/standard 0.000
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309 stimulus/standard 0.000
310 stimulus/standard 0.578 0.000
311 stimulus/deviant 0.000 0.602
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314 stimulus/standard 0.602 0.000
315 stimulus/deviant 0.000 0.586
316 stimulus/standard 0.000
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331 stimulus/standard 0.625 0.000
332 stimulus/deviant 0.000 0.578
333 stimulus/standard 0.000
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350 stimulus/standard 0.000
351 stimulus/standard 0.000
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354 stimulus/standard 0.000
355 stimulus/standard 0.570 0.000
356 stimulus/deviant 0.000 0.602
357 stimulus/standard 0.000
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373 stimulus/standard 0.539 0.000
374 stimulus/deviant 0.000 0.625
375 stimulus/standard 0.000
376 stimulus/standard 0.000
377 stimulus/standard 0.000
378 stimulus/standard 0.586 0.000
379 stimulus/deviant 0.000 0.609
380 stimulus/standard 0.578 0.000
381 stimulus/deviant 0.000 0.531
382 stimulus/standard 0.602 0.000
383 stimulus/deviant 0.000 0.641
384 stimulus/standard 0.633 0.000
385 stimulus/deviant 0.000 0.602
386 stimulus/standard 0.578 0.000
387 stimulus/deviant 0.000 0.602
388 stimulus/standard 0.555 0.000
389 stimulus/deviant 0.000 0.570
390 stimulus/standard 0.000
391 stimulus/standard 0.000
392 stimulus/standard 0.625 0.000
393 stimulus/deviant 0.000 0.539
394 stimulus/standard 0.000
395 stimulus/standard 0.570 0.000
396 stimulus/deviant 0.000 0.531
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398 stimulus/standard 0.000
399 stimulus/standard 0.000
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402 stimulus/standard 0.000
403 stimulus/standard 0.000
404 stimulus/standard 0.562 0.000
405 stimulus/deviant 0.000 0.578
406 stimulus/standard 0.000
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410 stimulus/standard 0.000
411 stimulus/standard 0.641 0.000
412 stimulus/deviant 0.000 0.633
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415 stimulus/standard 0.633 0.000
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428 stimulus/standard 0.609 0.000
429 stimulus/deviant 0.000 0.625
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448 stimulus/deviant 0.000 0.609
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773 stimulus/deviant 0.000 0.555
774 stimulus/standard 0.000
775 stimulus/standard 0.000
776 stimulus/standard 0.000
777 stimulus/standard 0.609 0.000
778 stimulus/deviant 0.000 0.633
779 stimulus/standard 0.000
780 stimulus/standard 0.000
781 stimulus/standard 0.000
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790 stimulus/standard 0.000
791 stimulus/standard 0.000
792 stimulus/standard 0.000
793 stimulus/standard 0.000
794 stimulus/standard 0.000
795 stimulus/standard 0.562 0.000
796 stimulus/deviant 0.000 0.617
797 stimulus/standard 0.000
798 stimulus/standard 0.000
799 stimulus/standard 0.000
800 stimulus/standard 0.000
801 stimulus/standard 0.000
802 stimulus/standard 0.000
803 stimulus/standard 0.000
804 stimulus/standard 0.000
805 stimulus/standard 0.617 0.000
806 stimulus/deviant 0.000 0.570
807 stimulus/standard 0.000
808 stimulus/standard 0.570 0.000
809 stimulus/deviant 0.000 0.609
810 stimulus/standard 0.000
811 stimulus/standard 0.000
812 stimulus/standard 0.000
813 stimulus/standard 0.609 0.000
814 stimulus/deviant 0.000 0.562
815 stimulus/standard 0.625 0.000
816 stimulus/deviant 0.000 0.562
817 stimulus/standard 0.000
818 stimulus/standard 0.523 0.000
819 stimulus/deviant 0.000 0.617
820 stimulus/standard 0.000
821 stimulus/standard 0.570 0.000
822 stimulus/deviant 0.000 0.602
823 stimulus/standard 0.555 0.000
824 stimulus/deviant 0.000 0.609
825 stimulus/standard 0.000
826 stimulus/standard 0.000
827 stimulus/standard 0.000
828 stimulus/standard 0.000
829 stimulus/standard 0.570 0.000
830 stimulus/deviant 0.000 0.641
831 stimulus/standard 0.000
832 stimulus/standard 0.000
833 stimulus/standard 0.594 0.000
834 stimulus/deviant 0.000 0.625
835 stimulus/standard 0.594 0.000
836 stimulus/deviant 0.000 0.602
837 stimulus/standard 0.000
838 stimulus/standard 0.000
839 stimulus/standard 0.000
840 stimulus/standard 0.000
841 stimulus/standard 0.000
842 stimulus/standard 0.000
843 stimulus/standard 0.000
844 stimulus/standard 0.617 0.000
845 stimulus/deviant 0.000 0.547
846 stimulus/standard 0.000
847 stimulus/standard 0.000
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850 stimulus/standard 0.000
851 stimulus/standard 0.000
852 stimulus/standard 0.000
853 stimulus/standard 0.000
854 stimulus/standard 0.000
855 stimulus/standard 0.617 0.000
856 stimulus/deviant 0.000 0.641
857 stimulus/standard 0.000
858 stimulus/standard 0.633 0.000
859 stimulus/deviant 0.000 0.594
860 stimulus/standard 0.000
861 stimulus/standard 0.625 0.000
862 stimulus/deviant 0.000 0.617
863 stimulus/standard 0.000
864 stimulus/standard 0.000
865 stimulus/standard 0.000
866 stimulus/standard 0.609 0.000
867 stimulus/deviant 0.000 0.625
868 stimulus/standard 0.000
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870 stimulus/standard 0.000
871 stimulus/standard 0.000
872 stimulus/standard 0.000
873 stimulus/standard 0.000
874 stimulus/standard 0.000
875 stimulus/standard 0.000
876 stimulus/standard 0.000
877 stimulus/standard 0.578 0.000
878 stimulus/deviant 0.000 0.602
879 stimulus/standard 0.000
880 stimulus/standard 0.609 0.000
881 stimulus/deviant 0.000 0.555
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883 stimulus/standard 0.000
884 stimulus/standard 0.625 0.000
885 stimulus/deviant 0.000 0.539
886 stimulus/standard 0.000
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891 stimulus/deviant 0.000 0.602
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900 stimulus/deviant 0.000 0.617
901 stimulus/standard 0.000
902 stimulus/standard 0.578 0.000
903 stimulus/deviant 0.000 0.586
904 stimulus/standard 0.000
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909 stimulus/standard 0.625 0.000
910 stimulus/deviant 0.000 0.578
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920 stimulus/standard 0.609 0.000
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923 stimulus/standard 0.000
924 stimulus/standard 0.000
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926 stimulus/standard 0.594 0.000
927 stimulus/deviant 0.000 0.578
928 stimulus/standard 0.000
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930 stimulus/standard 0.000
931 stimulus/standard 0.641 0.000
932 stimulus/deviant 0.000 0.555
933 stimulus/standard 0.000
934 stimulus/standard 0.000
935 stimulus/standard 0.000
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937 stimulus/standard 0.547 0.000
938 stimulus/deviant 0.000 0.562
939 stimulus/standard 0.000
940 stimulus/standard 0.000
941 stimulus/standard 0.000
942 stimulus/standard 0.000
943 stimulus/standard 0.617 0.000
944 stimulus/deviant 0.000 0.594
945 stimulus/standard 0.000
946 stimulus/standard 0.570 0.000
947 stimulus/deviant 0.000 0.578
948 stimulus/standard 0.000
949 stimulus/standard 0.000
950 stimulus/standard 0.578 0.000
951 stimulus/deviant 0.000 0.539
952 stimulus/standard 0.000
953 stimulus/standard 0.000
954 stimulus/standard 0.000
955 stimulus/standard 0.000
956 stimulus/standard 0.000
957 stimulus/standard 0.000
958 stimulus/standard 0.000
959 stimulus/standard 0.000
960 stimulus/standard 0.539 0.000
961 stimulus/deviant 0.000 0.570
962 stimulus/standard 0.000
963 stimulus/standard 0.000
964 stimulus/standard 0.000
965 stimulus/standard 0.000
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967 stimulus/standard 0.000
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969 stimulus/standard 0.000
970 stimulus/standard 0.000
971 stimulus/standard 0.000
972 stimulus/standard 0.000
973 stimulus/standard 0.594 0.000
974 stimulus/deviant 0.000 0.547
975 stimulus/standard 0.547 0.000
976 stimulus/deviant 0.000 0.570
977 stimulus/standard 0.547 0.000
980 stimulus/standard 0.000
981 stimulus/standard 0.000
982 stimulus/standard 0.000
983 stimulus/standard 0.547 0.000
984 stimulus/deviant 0.000

982 rows × 7 columns

ERP image (EEG)
Drop log
PSD
PSD calculated from 982 epochs (982.0 s).
Method picard
Fit parameters fastica_it=5
max_iter=1000
Fit 86 iterations on epochs (63830 samples)
ICA components 28
Available PCA components 29
Channel types eeg
ICA components marked for exclusion ICA000
ICA003
ICA009
ICA010
ICA012
ICA018		 
  """ERP CORE.

This example demonstrate how to process 5 participants from the
[ERP CORE](https://erpinfo.org/erp-core) dataset. It shows how to obtain 7 ERP
components from a total of 6 experimental tasks:

- N170 (face perception)
- MMN (passive auditory oddball)
- N2pc (visual search)
- N400 (word pair judgment)
- P3b (active visual oddball)
- LRP and ERN (flankers task)

## Dataset information

- **Authors:** Emily S. Kappenman, Jaclyn L. Farrens, Wendy Zhang,
                       Andrew X. Stewart, and Steven J. Luck
- **License:** CC-BY-4.0
- **URL:** [https://erpinfo.org/erp-core](https://erpinfo.org/erp-core)
- **Citation:** Kappenman, E., Farrens, J., Zhang, W., Stewart, A. X.,
                & Luck, S. J. (2021). ERP CORE: An open resource for human
                event-related potential research. *NeuroImage* 225: 117465.
                [https://doi.org/10.1016/j.neuroimage.2020.117465](https://doi.org/10.1016/j.neuroimage.2020.117465)
"""

import argparse
import sys

import mne

bids_root = "~/mne_data/ERP_CORE"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ERP_CORE"

# Find the --task option
args = [arg for arg in sys.argv if arg.startswith("--task") or not arg.startswith("-")]
parser = argparse.ArgumentParser()
parser.add_argument("ignored", nargs="*")
parser.add_argument(
    "--task", choices=("N400", "ERN", "LRP", "MMN", "N2pc", "N170", "P3"), required=True
)
task = parser.parse_args(args).task
sessions = [task]

subjects = ["015", "016", "017", "018", "019"]

ch_types = ["eeg"]
interactive = False

raw_resample_sfreq = 128
# Suppress "Data file name in EEG.data (sub-019_task-ERN_eeg.fdt) is incorrect..."
read_raw_bids_verbose = "error"

eeg_template_montage = mne.channels.make_standard_montage("standard_1005")
eeg_bipolar_channels = {
    "HEOG": ("HEOG_left", "HEOG_right"),
    "VEOG": ("VEOG_lower", "FP2"),
}
drop_channels = ["HEOG_left", "HEOG_right", "VEOG_lower"]
eog_channels = ["HEOG", "VEOG"]

l_freq = 0.1
h_freq = None
notch_freq = 60

decode = True
decoding_time_generalization = True
decoding_time_generalization_decim = 2

find_breaks = True
min_break_duration = 10
t_break_annot_start_after_previous_event = 3.0
t_break_annot_stop_before_next_event = 1.5

if task == "N400":  # test autoreject local without ICA
    spatial_filter = None
    reject = "autoreject_local"
    autoreject_n_interpolate = [2, 4]
elif task == "N170":  # test autoreject local before ICA
    spatial_filter = "ica"
    ica_reject = "autoreject_local"
    reject = "autoreject_global"
    autoreject_n_interpolate = [2, 4]
else:
    spatial_filter = "ica"
    ica_reject = dict(eeg=350e-6, eog=500e-6)
    reject = "autoreject_global"

# These settings are only used for the cases where spatial_filter="ica"
ica_max_iterations = 1000
ica_eog_threshold = 2
ica_decim = 2  # speed up ICA fitting

run_source_estimation = False
on_rename_missing_events = "ignore"

parallel_backend = "dask"
dask_worker_memory_limit = "2.5G"
n_jobs = 4

if task == "N400":
    dask_open_dashboard = True

    rename_events = {
        "response/201": "response/correct",
        "response/202": "response/error",
        "stimulus/111": "stimulus/prime/related",
        "stimulus/112": "stimulus/prime/related",
        "stimulus/121": "stimulus/prime/unrelated",
        "stimulus/122": "stimulus/prime/unrelated",
        "stimulus/211": "stimulus/target/related",
        "stimulus/212": "stimulus/target/related",
        "stimulus/221": "stimulus/target/unrelated",
        "stimulus/222": "stimulus/target/unrelated",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.2
    epochs_tmax = 0.8
    epochs_metadata_tmin = 0
    epochs_metadata_tmax = 1.5
    epochs_metadata_keep_first = ["stimulus/target", "response"]
    baseline = (None, 0)

    conditions = {
        "related": '`first_stimulus/target` == "related" and '
        'first_response == "correct"',
        "unrelated": '`first_stimulus/target` == "unrelated" and '
        'first_response == "correct"',
    }
    contrasts = [("unrelated", "related")]
    cluster_forming_t_threshold = 1.5  # Only for testing!
    cluster_permutation_p_threshold = 0.2  # Only for testing!
elif task == "ERN":
    rename_events = {
        "stimulus/11": "compatible/left",
        "stimulus/12": "compatible/right",
        "stimulus/21": "incompatible/left",
        "stimulus/22": "incompatible/right",
        "response/111": "response/correct",
        "response/112": "response/incorrect",
        "response/121": "response/correct",
        "response/122": "response/incorrect",
        "response/211": "response/incorrect",
        "response/212": "response/correct",
        "response/221": "response/incorrect",
        "response/222": "response/correct",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.6
    epochs_tmax = 0.4
    baseline = (-0.4, -0.2)
    conditions = ["response/correct", "response/incorrect"]
    contrasts = [("response/incorrect", "response/correct")]
    cluster_forming_t_threshold = 5  # Only for testing!
    cluster_permutation_p_threshold = 0.2  # Only for testing!
    decoding_csp = True
    decoding_csp_freqs = {
        "theta": [4, 7],
        "alpha": [8, 12],
        "beta": [13, 20, 30],
        "gamma": [50, 63],
    }
    decoding_csp_times = [-0.2, 0.0, 0.2, 0.4]
elif task == "LRP":
    rename_events = {
        "stimulus/11": "compatible/left",
        "stimulus/12": "compatible/right",
        "stimulus/21": "incompatible/left",
        "stimulus/22": "incompatible/right",
        "response/111": "response/left/correct",
        "response/112": "response/left/incorrect",
        "response/121": "response/left/correct",
        "response/122": "response/left/incorrect",
        "response/211": "response/right/incorrect",
        "response/212": "response/right/correct",
        "response/221": "response/right/incorrect",
        "response/222": "response/right/correct",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.8
    epochs_tmax = 0.2
    baseline = (None, -0.6)
    conditions = ["response/left", "response/right"]
    contrasts = [("response/right", "response/left")]  # contralateral vs ipsi
elif task == "MMN":
    rename_events = {
        "stimulus/70": "stimulus/deviant",
        "stimulus/80": "stimulus/standard",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.2
    epochs_tmax = 0.8
    baseline = (None, 0)
    conditions = ["stimulus/standard", "stimulus/deviant"]
    contrasts = [("stimulus/deviant", "stimulus/standard")]
elif task == "N2pc":
    rename_events = {
        "response/201": "response/correct",
        "response/202": "response/error",
        "stimulus/111": "stimulus/blue/left",
        "stimulus/112": "stimulus/blue/left",
        "stimulus/121": "stimulus/blue/right",
        "stimulus/122": "stimulus/blue/right",
        "stimulus/211": "stimulus/pink/left",
        "stimulus/212": "stimulus/pink/left",
        "stimulus/221": "stimulus/pink/right",
        "stimulus/222": "stimulus/pink/right",
    }

    eeg_reference = ["P9", "P10"]
    # Analyze all EEG channels -- we only specify the channels here for the purpose of
    # demonstration
    analyze_channels = [
        "FP1",
        "F3",
        "F7",
        "FC3",
        "C3",
        "C5",
        "P3",
        "P7",
        "P9",
        "PO7",
        "PO3",
        "O1",
        "Oz",
        "Pz",
        "CPz",
        "FP2",
        "Fz",
        "F4",
        "F8",
        "FC4",
        "FCz",
        "Cz",
        "C4",
        "C6",
        "P4",
        "P8",
        "P10",
        "PO8",
        "PO4",
        "O2",
    ]

    epochs_tmin = -0.2
    epochs_tmax = 0.8
    baseline = (None, 0)
    conditions = ["stimulus/right", "stimulus/left"]
    contrasts = [("stimulus/right", "stimulus/left")]  # Contralteral vs ipsi
elif task == "N170":
    rename_events = {
        "response/201": "response/correct",
        "response/202": "response/error",
    }

    eeg_reference = "average"
    # Analyze all EEG channels -- we only specify the channels here for the purpose of
    # demonstration
    analyze_channels = [
        "FP1",
        "F3",
        "F7",
        "FC3",
        "C3",
        "C5",
        "P3",
        "P7",
        "P9",
        "PO7",
        "PO3",
        "O1",
        "Oz",
        "Pz",
        "CPz",
        "FP2",
        "Fz",
        "F4",
        "F8",
        "FC4",
        "FCz",
        "Cz",
        "C4",
        "C6",
        "P4",
        "P8",
        "P10",
        "PO8",
        "PO4",
        "O2",
    ]

    ica_n_components = 30 - 1
    for i in range(1, 180 + 1):
        orig_name = f"stimulus/{i}"

        if 1 <= i <= 40:
            new_name = "stimulus/face/normal"
        elif 41 <= i <= 80:
            new_name = "stimulus/car/normal"
        elif 101 <= i <= 140:
            new_name = "stimulus/face/scrambled"
        elif 141 <= i <= 180:
            new_name = "stimulus/car/scrambled"
        else:
            continue

        rename_events[orig_name] = new_name

    epochs_tmin = -0.2
    epochs_tmax = 0.8
    baseline = (None, 0)
    conditions = ["stimulus/face/normal", "stimulus/car/normal"]
    contrasts = [("stimulus/face/normal", "stimulus/car/normal")]
elif task == "P3":
    rename_events = {
        "response/201": "response/correct",
        "response/202": "response/incorrect",
        "stimulus/11": "stimulus/target/11",
        "stimulus/22": "stimulus/target/22",
        "stimulus/33": "stimulus/target/33",
        "stimulus/44": "stimulus/target/44",
        "stimulus/55": "stimulus/target/55",
        "stimulus/21": "stimulus/non-target/21",
        "stimulus/31": "stimulus/non-target/31",
        "stimulus/41": "stimulus/non-target/41",
        "stimulus/51": "stimulus/non-target/51",
        "stimulus/12": "stimulus/non-target/12",
        "stimulus/32": "stimulus/non-target/32",
        "stimulus/42": "stimulus/non-target/42",
        "stimulus/52": "stimulus/non-target/52",
        "stimulus/13": "stimulus/non-target/13",
        "stimulus/23": "stimulus/non-target/23",
        "stimulus/43": "stimulus/non-target/43",
        "stimulus/53": "stimulus/non-target/53",
        "stimulus/14": "stimulus/non-target/14",
        "stimulus/24": "stimulus/non-target/24",
        "stimulus/34": "stimulus/non-target/34",
        "stimulus/54": "stimulus/non-target/54",
        "stimulus/15": "stimulus/non-target/15",
        "stimulus/25": "stimulus/non-target/25",
        "stimulus/35": "stimulus/non-target/35",
        "stimulus/45": "stimulus/non-target/45",
    }

    eeg_reference = ["P9", "P10"]
    epochs_tmin = -0.2
    epochs_tmax = 0.8
    baseline = (None, 0)
    conditions = ["stimulus/target", "stimulus/non-target"]
    contrasts = [("stimulus/target", "stimulus/non-target")]
    cluster_forming_t_threshold = 0.8  # Only for testing!
    cluster_permutation_p_threshold = 0.2  # Only for testing!
else:
    raise RuntimeError(f"Task {task} not currently supported")


  Platform             Linux-5.15.0-1053-aws-x86_64-with-glibc2.35
Python               3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
Executable           /home/circleci/python_env/bin/python3.10
CPU                  x86_64 (36 cores)
Memory               68.6 GB

Core
├☑ mne               1.7.0.dev156+g415e7f68e (devel, latest release is 1.6.1)
├☑ numpy             1.26.4 (OpenBLAS 0.3.23.dev with 2 threads)
├☑ scipy             1.12.0
└☑ matplotlib        3.8.3 (backend=agg)

Numerical (optional)
├☑ sklearn           1.4.1.post1
├☑ numba             0.59.1
├☑ nibabel           5.2.1
├☑ pandas            2.2.1
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.43.4 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.2 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt         0.11.0
├☑ vtk               9.3.0
├☑ qtpy              2.4.1 (PyQt6=6.6.0)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.15.0.dev43+g17d20c132
├☑ mne-bids-pipeline 1.8.0
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo