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).
  """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