sub-01, ses-anodalpost, task-attentionalblink

Raw (original) data-quality raw run-None

Info raw run-None data-quality

	General
	Filename(s)	sub-01_ses-anodalpost_task-attentionalblink_eeg.eeg
	MNE object type	RawBrainVision
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Duration	00:19:28 (HH:MM:SS)
	Sampling frequency	512.00 Hz
	Time points	598,016
	Channels
	EEG	and
	EOG
	misc
	Stimulus
	Head & sensor digitization	67 points
	Filters
	Highpass	0.00 Hz
	Lowpass	256.00 Hz

Time series raw run-None data-quality

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PSD raw run-None data-quality

Raw (filtered) filtered raw run-None

Info raw run-None filtered

	General
	Filename(s)	sub-01_ses-anodalpost_task-attentionalblink_eeg.eeg
	MNE object type	RawBrainVision
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Duration	00:19:28 (HH:MM:SS)
	Sampling frequency	512.00 Hz
	Time points	598,016
	Channels
	EEG	and
	EOG
	misc
	Stimulus
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz

Time series raw run-None filtered

Move the slider or click on the image and use the ← and → keys to browse.

PSD raw run-None filtered

Events events

Epochs: before cleaning epochs

Info epochs

	General
	MNE object type	Epochs
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Total number of events	252
	Events counts	61450: 183 61511: 69
	Time range	-0.199 – 0.500 s
	Baseline	off
	Sampling frequency	512.00 Hz
	Time points	359
	Metadata	252 rows × 16 columns
	Channels
	EEG	and
	EOG
	misc
	Stimulus
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (off)

Metadata epochs

Epoch #	event_name	61450	61511	ones	letter
0				1.000	a
1				1.000	a
2	61450	0.000		1.000	a
3				1.000	a
4				1.000	a
5				1.000	a
6				1.000	a
7				1.000	a
8				1.000	a
9				1.000	a
10	61450	0.000		1.000	a
11				1.000	a
12				1.000	a
13				1.000	a
14				1.000	a
15				1.000	a
16				1.000	a
17				1.000	a
18	61450	0.000		1.000	a
19				1.000	a
20				1.000	a
21				1.000	a
22				1.000	a
23				1.000	a
24				1.000	a
25				1.000	a
26	61450	0.000		1.000	a
27				1.000	a
28				1.000	a
29				1.000	a
30				1.000	a
31				1.000	a
32				1.000	a
33				1.000	a
34	61450	0.000		1.000	a
35				1.000	a
36				1.000	a
37				1.000	a
38				1.000	a
39				1.000	a
40				1.000	a
41	61511	0.250	0.000	1.000	a
42	61450	0.000		1.000	a
43				1.000	a
44				1.000	a
45				1.000	a
46				1.000	a
47				1.000	a
48				1.000	a
49	61511	0.250	0.000	1.000	a
50	61450	0.000		1.000	a
51				1.000	a
52				1.000	a
53				1.000	a
54				1.000	a
55				1.000	a
56				1.000	a
57				1.000	a
58	61450	0.000		1.000	a
59				1.000	a
60				1.000	a
61				1.000	a
62				1.000	a
63				1.000	a
64				1.000	a
65	61511	0.250	0.000	1.000	a
66	61450	0.000		1.000	a
67				1.000	a
68				1.000	a
69				1.000	a
70				1.000	a
71				1.000	a
72				1.000	a
73	61511	0.250	0.000	1.000	a
74	61450	0.000		1.000	a
75				1.000	a
76				1.000	a
77				1.000	a
78				1.000	a
79				1.000	a
80				1.000	a
81				1.000	a
82	61450	0.000		1.000	a
83				1.000	a
84				1.000	a
85				1.000	a
86				1.000	a
87				1.000	a
88				1.000	a
89				1.000	a
90	61450	0.000		1.000	a
91				1.000	a
92				1.000	a
93				1.000	a
94				1.000	a
95				1.000	a
96				1.000	a
97				1.000	a
98	61450	0.000		1.000	a
99				1.000	a
100				1.000	a
101				1.000	a
102				1.000	a
103				1.000	a
104				1.000	a
105				1.000	a
106	61450	0.000		1.000	a
107				1.000	a
108				1.000	a
109				1.000	a
110				1.000	a
111				1.000	a
112				1.000	a
113				1.000	a
114	61450	0.000		1.000	a
115				1.000	a
116				1.000	a
117				1.000	a
118				1.000	a
119				1.000	a
120				1.000	a
121	61511	0.250	0.000	1.000	a
122	61450	0.000		1.000	a
123				1.000	a
124				1.000	a
125				1.000	a
126				1.000	a
127				1.000	a
128				1.000	a
129				1.000	a
130	61450	0.000		1.000	a
131				1.000	a
132				1.000	a
133				1.000	a
134				1.000	a
135				1.000	a
136				1.000	a
137	61511	0.250	0.000	1.000	a
138	61450	0.000		1.000	a
139				1.000	a
140				1.000	a
141				1.000	a
142				1.000	a
143				1.000	a
144				1.000	a
145	61511	0.250	0.000	1.000	a
146	61450	0.000		1.000	a
147				1.000	a
148				1.000	a
149				1.000	a
150				1.000	b
151				1.000	b
152				1.000	b
153	61511	0.250	0.000	1.000	b
154	61450	0.000		1.000	b
155				1.000	b
156				1.000	b
157				1.000	b
158				1.000	b
159				1.000	b
160				1.000	b
161				1.000	b
162	61450	0.000		1.000	b
163				1.000	b
164				1.000	b
165				1.000	b
166				1.000	b
167				1.000	b
168				1.000	b
169				1.000	b
170	61450	0.000		1.000	b
171				1.000	b
172				1.000	b
173				1.000	b
174				1.000	b
175				1.000	b
176				1.000	b
177				1.000	b
178	61450	0.000		1.000	b
179				1.000	b
180				1.000	b
181				1.000	b
182				1.000	b
183				1.000	b
184				1.000	b
185	61511	0.250	0.000	1.000	b
186	61450	0.000		1.000	b
187				1.000	b
188				1.000	b
189				1.000	b
190				1.000	b
191				1.000	b
192				1.000	b
193	61511	0.250	0.000	1.000	b
194	61450	0.000		1.000	b
195				1.000	b
196				1.000	b
197				1.000	b
198				1.000	b
199				1.000	b
200				1.000	b
201				1.000	b
202	61450	0.000		1.000	b
203				1.000	b
204				1.000	b
205				1.000	b
206				1.000	b
207				1.000	b
208				1.000	b
209				1.000	b
210	61450	0.000		1.000	b
211				1.000	b
212				1.000	b
213				1.000	b
214				1.000	b
215				1.000	b
216				1.000	b
217				1.000	b
218	61450	0.000		1.000	b
219				1.000	b
220				1.000	b
221				1.000	b
222				1.000	b
223				1.000	b
224				1.000	b
225	61511	0.250	0.000	1.000	b
226	61450	0.000		1.000	b
227				1.000	b
228				1.000	b
229				1.000	b
230				1.000	b
231				1.000	b
232				1.000	b
233				1.000	b
234	61450	0.000		1.000	b
235				1.000	b
236				1.000	b
237				1.000	b
238				1.000	b
239				1.000	b
240				1.000	b
241	61511	0.250	0.000	1.000	b
242	61450	0.000		1.000	b
243				1.000	b
244				1.000	b
245				1.000	b
246				1.000	b
247				1.000	b
248				1.000	b
249				1.000	b
250	61450	0.000		1.000	b
251				1.000	b

252 rows × 17 columns

ERP image (EEG) epochs

Drop log epochs

PSD epochs

Epochs: after cleaning clean epochs

Rejection thresholds epochs clean

{'eeg': 0.0001}

Info epochs clean

	General
	Filename(s)	sub-01_ses-anodalpost_task-attentionalblink_epo.fif
	MNE object type	EpochsFIF
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Total number of events	155
	Events counts	61450: 138 61511: 17
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Metadata	155 rows × 16 columns
	Channels
	EEG	and
	EOG
	misc
	Stimulus
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Metadata epochs clean

Epoch #	event_name	61440	61450	61463	61468	61471	61472	61480	61490	61500	61501	61510	61511	61694	ones	letter
0	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
1	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
3	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
5	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
6	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
7	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
8	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
9	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
11	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
13	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
14	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
17	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
18	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
25	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
27	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
28	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
29	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
30	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
32	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
34	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
36	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
37	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
39	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
40	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
41	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	a
42	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
43	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
44	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
45	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
46	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
47	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
48	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
49	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	a
50	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
52	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
53	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
55	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
57	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
59	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
60	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
63	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
64	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
67	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
68	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
69	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
72	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
73	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	a
75	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
81	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
82	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
86	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
87	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
88	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
89	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
90	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
91	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
92	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
94	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
96	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
97	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
98	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
100	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
101	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
102	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
106	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
107	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
108	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
109	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
110	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
111	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
113	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
114	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
116	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
117	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
122	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
124	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
126	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
127	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
128	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
129	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
130	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	a
131	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
133	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
135	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
137	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	a
139	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
140	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
141	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
144	None	None		None	None	None	None	None	None	None	None	None		None	1.000	a
151	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
152	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
153	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	b
155	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
158	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
159	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
160	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
163	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
164	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
165	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
167	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
168	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
170	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
172	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
173	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
174	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
175	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
176	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
177	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
178	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
180	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
183	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
184	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
185	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	b
187	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
188	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
189	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
191	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
195	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
196	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
197	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
198	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
199	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
200	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
201	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
202	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
204	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
205	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
207	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
208	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
209	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
210	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
211	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
213	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
214	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
215	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
217	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
219	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
220	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
221	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
222	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
223	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
224	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
225	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	b
227	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
229	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
231	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
233	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
235	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
238	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
241	61511	None	0.250	None	None	None	None	None	None	None	None	None	0.000	None	1.000	b
242	61450	None	0.000	None	None	None	None	None	None	None	None	None		None	1.000	b
244	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
246	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
248	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b
249	None	None		None	None	None	None	None	None	None	None	None		None	1.000	b

155 rows × 17 columns

ERP image (EEG) epochs clean

Drop log epochs clean

PSD epochs clean

Condition: 61450 61450 evoked

Info evoked 61450

	General
	MNE object type	EvokedArray
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Aggregation	average of 138 epochs
	Condition	61450
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Channels
	EEG	and
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Time course (EEG) evoked 61450

Topographies evoked 61450

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Global field power evoked 61450

Condition: 61511 61511 evoked

Info evoked 61511

	General
	MNE object type	EvokedArray
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Aggregation	average of 17 epochs
	Condition	61511
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Channels
	EEG	and
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Time course (EEG) evoked 61511

Topographies evoked 61511

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Global field power evoked 61511

Contrast: 61450+61511 61450+61511 contrast evoked

Info evoked 61450+61511 contrast

	General
	MNE object type	EvokedArray
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Aggregation	average of 15 epochs
	Condition	61450 - 61511
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Channels
	EEG	and
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Time course (EEG) evoked 61450+61511 contrast

Topographies evoked 61450+61511 contrast

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Global field power evoked 61450+61511 contrast

Contrast: letter=='a'+letter=='b' contrast evoked letter==a+letter==b

Info evoked letter==a+letter==b contrast

	General
	MNE object type	EvokedArray
	Measurement date	Unknown
	Participant	sub-01
	Experimenter	Unknown
	Acquisition
	Aggregation	average of 38 epochs
	Condition	(0.89 × 61450 + 0.11 × 61511) - (0.89 × 61450 + 0.11 × 61511)
	Time range	-0.199 – 0.500 s
	Baseline	-0.199 – 0.000 s
	Sampling frequency	512.00 Hz
	Time points	359
	Channels
	EEG	and
	Head & sensor digitization	67 points
	Filters
	Highpass	0.30 Hz
	Lowpass	40.00 Hz
	Projections	Average EEG reference (on)

Time course (EEG) evoked letter==a+letter==b contrast

Topographies evoked letter==a+letter==b contrast

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Global field power evoked letter==a+letter==b contrast

Decoding: full-epochs 61450–61511 contrast decoding epochs letter==a–letter==b

Full-epochs decoding epochs contrast decoding 61450–61511 letter==a–letter==b

Decoding: time-by-time 61450–61511 contrast decoding epochs letter==a–letter==b

Decoding over time: 61450 vs. 61511 epochs contrast decoding 61450–61511

Decoding over time: letter=='a' vs. letter=='b' epochs contrast decoding letter==a–letter==b

Noise covariance 61450 61450+61511 61511 contrast covariance evoked letter==a+letter==b

Covariance matrix covariance

Singular values covariance

Whitening: 61450 evoked covariance 61450

Whitening: 61511 evoked covariance 61511

Whitening: 61450+61511 evoked covariance 61450+61511 contrast

Whitening: letter=='a'+letter=='b' evoked covariance letter==a+letter==b contrast

Configuration file configuration

  """tDCS EEG."""

import numpy as np
import pandas as pd

bids_root = "~/mne_data/ds001810"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds001810"

task = "attentionalblink"
interactive = False
ch_types = ["eeg"]
eeg_template_montage = "biosemi64"
reject = dict(eeg=100e-6)
baseline = (None, 0)
conditions = ["61450", "61511"]
contrasts = [("61450", "61511"), ("letter=='a'", "letter=='b'")]
decode = True
decoding_n_splits = 3  # only for testing, use 5 otherwise

l_freq = 0.3

subjects = ["01"]
sessions = "all"

interpolate_bads_grand_average = False
n_jobs = 4

epochs_custom_metadata = {
    "ses-anodalpost": pd.DataFrame(
        {
            "ones": np.ones(253),
            "letter": ["a" for x in range(150)] + ["b" for x in range(103)],
        }
    ),
    "ses-anodalpre": pd.DataFrame(
        {
            "ones": np.ones(268),
            "letter": ["a" for x in range(150)] + ["b" for x in range(118)],
        }
    ),
    "ses-anodaltDCS": pd.DataFrame(
        {
            "ones": np.ones(269),
            "letter": ["a" for x in range(150)] + ["b" for x in range(119)],
        }
    ),
    "ses-cathodalpost": pd.DataFrame(
        {
            "ones": np.ones(290),
            "letter": ["a" for x in range(150)] + ["b" for x in range(140)],
        }
    ),
    "ses-cathodalpre": pd.DataFrame(
        {
            "ones": np.ones(267),
            "letter": ["a" for x in range(150)] + ["b" for x in range(117)],
        }
    ),
    "ses-cathodaltDCS": pd.DataFrame(
        {
            "ones": np.ones(297),
            "letter": ["a" for x in range(150)] + ["b" for x in range(147)],
        }
    ),
}  # number of rows are hand-set

System information mne-sysinfo

  Platform             Linux-6.8.0-1031-aws-x86_64-with-glibc2.35
Python               3.12.4 (main, Jun  8 2024, 23:40:19) [GCC 11.4.0]
Executable           /home/circleci/.pyenv/versions/3.12.4/bin/python3.12
CPU                  Intel(R) Xeon(R) Platinum 8124M CPU @ 3.00GHz (36 cores)
Memory               8.0 GiB

Core
├☑ mne               1.11.0.dev17+g167872bf6 (development, latest release is 1.10.0)
├☑ numpy             2.2.6 (OpenBLAS 0.3.29 with 1 thread)
├☑ scipy             1.16.1
└☑ matplotlib        3.10.3 (backend=agg)

Numerical (optional)
├☑ sklearn           1.7.1
├☑ numba             0.61.2
├☑ nibabel           5.3.2
├☑ pandas            2.3.1
├☑ h5io              0.2.5
├☑ h5py              3.14.0
└☐ unavailable       nilearn, dipy, openmeeg, cupy

Visualization (optional)
├☑ pyvista           0.45.3 (OpenGL 4.5 (Core Profile) Mesa 23.2.1-1ubuntu3.1~22.04.3 via llvmpipe (LLVM 15.0.7, 256 bits))
├☑ pyvistaqt         0.11.3
├☑ vtk               9.4.2
├☑ qtpy              2.4.3 (PyQt6=6.9.0)
└☐ unavailable       ipympl, pyqtgraph, mne-qt-browser, ipywidgets, trame_client, trame_server, trame_vtk, trame_vuetify

Ecosystem (optional)
├☑ mne-bids          0.17.0.dev63+g5dc6cce
├☑ mne-bids-pipeline 1.10.0.dev93+g85cf165
├☑ eeglabio          0.1.0
├☑ edfio             0.4.9
├☑ pybv              0.7.6
├☑ defusedxml        0.7.1
└☐ unavailable       mne-nirs, mne-features, mne-connectivity, mne-icalabel, neo, mffpy, antio

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