Number of events 208
Events Auditory/Left: 54
Auditory/Right: 53
Visual/Left: 50
Visual/Right: 51
Time range -0.200 – 0.499 s
Baseline off
Epoch # event_name Auditory/Left Auditory/Right Button Smiley Visual/Left Visual/Right
1 Visual/Left 0.000
2 Auditory/Left 0.000
3 Visual/Right 0.000
4 Auditory/Right 0.000
5 Visual/Left 0.000
6 Auditory/Left 0.000
7 Visual/Right 0.000
8 Auditory/Right 0.000
9 Visual/Left 0.000
10 Auditory/Left 0.000
11 Visual/Right 0.000
12 Auditory/Right 0.000
13 Visual/Left 0.000
14 Auditory/Left 0.000
16 Visual/Left 0.000
17 Auditory/Left 0.000
19 Auditory/Right 0.000
20 Visual/Left 0.000
21 Auditory/Left 0.000
23 Auditory/Right 0.000
24 Visual/Left 0.000
25 Auditory/Left 0.000
26 Visual/Right 0.000
29 Auditory/Left 0.000
30 Visual/Right 0.000
31 Auditory/Right 0.000
32 Visual/Left 0.000
33 Auditory/Left 0.000
34 Auditory/Right 0.000 -0.037
35 Visual/Left 0.000
36 Auditory/Left 0.000
38 Auditory/Right 0.000
41 Visual/Right 0.000
42 Auditory/Right 0.000
44 Auditory/Left 0.000
45 Visual/Right 0.000
47 Visual/Left 0.000
48 Auditory/Left 0.000
49 Visual/Right 0.000
50 Auditory/Right 0.000
51 Visual/Left 0.000
53 Visual/Right 0.000
55 Auditory/Left 0.000 -0.130
56 Visual/Right 0.000
58 Visual/Left 0.000
59 Auditory/Left 0.000
61 Auditory/Right 0.000
63 Auditory/Left 0.000
64 Visual/Right 0.000
66 Visual/Left 0.000
67 Auditory/Left 0.000
69 Auditory/Right 0.000
70 Visual/Left 0.000
72 Visual/Right 0.000
73 Visual/Left -0.103 0.000
74 Auditory/Left 0.000
76 Auditory/Right 0.000
80 Auditory/Right 0.000
82 Auditory/Left 0.000
83 Visual/Right 0.000
84 Auditory/Right 0.000
86 Auditory/Left 0.000
87 Visual/Right 0.000
88 Auditory/Right 0.000
89 Visual/Left 0.000
90 Auditory/Left 0.000
91 Auditory/Right 0.000 -0.048
92 Visual/Left 0.000
94 Visual/Right 0.000
95 Auditory/Right 0.000
98 Visual/Right 0.000
100 Visual/Left 0.000
101 Auditory/Left 0.000
104 Visual/Left 0.000
105 Auditory/Left 0.000
107 Auditory/Right 0.000
108 Visual/Left 0.000
109 Visual/Right -0.166 0.000
110 Auditory/Right 0.000
115 Visual/Left 0.000
116 Auditory/Left 0.000
117 Visual/Right 0.000
118 Auditory/Right 0.000
120 Auditory/Left 0.000
121 Visual/Right 0.000
122 Auditory/Right 0.000
123 Visual/Left 0.000
124 Auditory/Left 0.000
125 Visual/Right 0.000
126 Auditory/Right 0.000
127 Visual/Left 0.000
128 Auditory/Left 0.000
129 Visual/Right 0.000
130 Auditory/Right 0.000
131 Auditory/Left 0.000
132 Visual/Right 0.000
134 Visual/Left 0.000
135 Auditory/Left 0.000
136 Visual/Right 0.000
137 Auditory/Right 0.000
138 Visual/Left 0.000
139 Auditory/Left 0.000
140 Visual/Right 0.000
141 Auditory/Right 0.000
142 Visual/Left 0.000
143 Auditory/Left 0.000
144 Visual/Right 0.000
145 Auditory/Right 0.000
146 Visual/Left 0.000
147 Auditory/Left 0.000
148 Visual/Right 0.000
149 Visual/Left 0.000
151 Visual/Right 0.000
152 Auditory/Right 0.000
153 Visual/Left 0.000
154 Auditory/Left 0.000
157 Visual/Left 0.000
158 Auditory/Left 0.000
159 Visual/Right 0.000
160 Auditory/Right 0.000
161 Visual/Left 0.000
162 Auditory/Left 0.000
163 Visual/Right 0.000
164 Auditory/Right 0.000
166 Auditory/Left 0.000
167 Auditory/Right 0.000 0.120
169 Auditory/Left 0.000
170 Visual/Right 0.000
171 Auditory/Right 0.000
172 Visual/Left 0.000
173 Auditory/Left 0.000
174 Visual/Right 0.000
175 Auditory/Right 0.000
176 Visual/Left 0.000
177 Auditory/Left 0.000
182 Visual/Right 0.000
185 Visual/Right -0.067 0.000
191 Visual/Left 0.000
192 Auditory/Left 0.000
193 Visual/Right 0.000
194 Auditory/Right 0.000
195 Visual/Left 0.000
197 Visual/Right 0.000
198 Auditory/Right 0.000
199 Visual/Left 0.000
200 Auditory/Left 0.000
201 Visual/Right 0.000
202 Auditory/Right 0.000
203 Visual/Left 0.000
204 Auditory/Left 0.000
206 Visual/Left -0.185 0.000
209 Auditory/Right 0.000
210 Visual/Left 0.000
211 Auditory/Left 0.000
212 Visual/Right 0.000
213 Auditory/Right 0.000
214 Visual/Left 0.000
215 Auditory/Left 0.000
216 Visual/Right 0.000
217 Auditory/Right 0.000
218 Visual/Left 0.000
221 Auditory/Right 0.000
223 Auditory/Left 0.000
225 Visual/Left 0.000
230 Auditory/Left 0.000
231 Visual/Right 0.000
235 Visual/Right 0.000
236 Auditory/Right 0.000
238 Auditory/Left 0.000
239 Visual/Right 0.000
240 Auditory/Right 0.000
241 Visual/Left 0.000
244 Visual/Left 0.000
245 Auditory/Left 0.000
246 Visual/Right 0.000
247 Auditory/Right 0.000
248 Visual/Left 0.000
249 Auditory/Left 0.000
251 Auditory/Right 0.000
254 Visual/Right 0.000
255 Auditory/Right 0.000
256 Visual/Left 0.000
259 Auditory/Right 0.000
260 Visual/Left 0.000
261 Visual/Right -0.018 0.000
262 Auditory/Right 0.000
264 Auditory/Left 0.000
265 Visual/Right 0.000
266 Auditory/Right 0.000
267 Visual/Left 0.000
268 Auditory/Left 0.000
269 Visual/Right 0.000
270 Auditory/Right 0.000
271 Visual/Left 0.000
273 Visual/Right 0.000
274 Auditory/Right 0.000
275 Visual/Left 0.000
276 Auditory/Left 0.000
277 Visual/Right 0.000
278 Auditory/Right 0.000
280 Auditory/Left 0.000
281 Visual/Right 0.000
282 Auditory/Right 0.000
283 Auditory/Left 0.000 -0.150
284 Visual/Right 0.000
285 Auditory/Right 0.000
287 Auditory/Left 0.000
288 Visual/Right 0.000

208 rows × 8 columns

Drop log
PSD
PSD calculated from 208 epochs (145.5 s).
Method infomax
Fit parameters extended=True
max_iter=500
Fit 109 iterations on epochs (87568 samples)
ICA components 31
Available PCA components 364
Channel types mag, grad, eeg
ICA components marked for exclusion ICA000
ICA001
ICA004
ICA009
ICA014
ICA020
  """MNE Sample Data: ICA."""

bids_root = "~/mne_data/ds000248"
deriv_root = "~/mne_data/derivatives/mne-bids-pipeline/ds000248_ica"

ch_types = ["meg"]
data_type = "meg"

subjects = ["01"]
task = "audiovisual"
l_freq = 0.3
h_freq = 40.0

conditions = ["Auditory/Left", "Auditory/Right", "Visual/Left", "Visual/Right"]

epochs_tmin = -0.2
epochs_tmax = 0.5
baseline = (None, 0)
ica_reject = dict(mag=3000e-15, grad=3000e-13)

spatial_filter = "ica"
ica_algorithm = "extended_infomax"
ica_l_freq = 1.0
ica_n_components = 0.8
ica_max_iterations = 500

interactive = False

  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