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PASCAL Workshop on Methods of Data Analysis in Computational Neuroscience and Brain Computer Interfaces

New BCI approaches: Selective Attention to Auditory and Tactile Stimulus Streams

author: Jeremy Hill, Max Planck Institute for Biological Cybernetics
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Slides
0:02 New BCI approaches Selective Attention to Auditory and Tactile Stimulus Streams
1:44 Overview pt 1
2:37 Overview pt 2
2:51 Overview pt 3
3:06 Overview pt 4
3:30 Overview pt 5
3:37 Why Non-Visual pt 1
3:38 Why Non-Visual pt 2
3:58 Why Non-Visual pt 3
6:12 Why Non-Motor pt 1
6:55 Why Non-Motor pt 2
7:06 Why Non-Motor pt 3
7:17 Why Non-Motor pt 4
7:54 Auditory and Tactile BCI pt 1
8:07 Auditory and Tactile BCI pt 2
8:13 Auditory and Tactile BCI pt 3
8:18 Auditory and Tactile BCI pt 4
8:45 Auditory and Tactile BCI pt 5
8:59 Auditory and Tactile BCI pt 6
9:22 I - Auditory Stimulation in EEG pt 1
9:54 I - Auditory Stimulation in EEG pt 2
10:07 I - Auditory Stimulation in EEG pt 3
11:15 I - Auditory Stimulation in EEG pt 4
11:27 I - Auditory Stimulation in EEG pt 5
11:36 I - Auditory Stimulation in EEG pt 6
11:37 I - Auditory Stimulation in EEG pt 7
12:16 Trial Structure
12:52 Data Structure
13:27 II - Tactile Stimulation in MEG pt 1
16:12 II - Tactile Stimulation in MEG pt 2
16:43 Classification pt 1
18:14 Classification pt 2
18:19 Classification pt 3
18:21 Classification pt 4
18:24 Classification pt 5
18:36 Classification pt 6
18:45 Classification pt 7
18:47 Classification pt 8
20:11 Classification pt 9
20:46 Classification pt 10
21:35 Classification pt 11
21:59 Classification pt 12
22:05 Classification pt 13
22:14 Bilinear Discriminant Analysis pt 1
22:56 Bilinear Discriminant Analysis pt 2
23:14 Bilinear Discriminant Analysis pt 3
23:40 Bilinear Discriminant Analysis pt 4
23:55 Bilinear Discriminant Analysis pt 5
24:22 Bilinear Discriminant Analysis pt 6
24:56 Bilinear Discriminant Analysis pt 7
25:10 Bilinear Discriminant Analysis pt 8
25:30 Bilinear Discriminant Analysis pt 9
26:07 Bilinear Discriminant Analysis pt 10
26:28 Bilinear Discriminant Analysis pt 11
26:37 Bilinear Discriminant Analysis pt 12
27:17 Bilinear Discriminant Analysis pt 13
27:29 Spatial Whitening in ERP Classification pt 1
28:27 Spatial Whitening in ERP Classification pt 2
28:31 Spatial Whitening in ERP Classification pt 3
28:34 Spatial Whitening in ERP Classification pt 4
28:37 Spatial Whitening in ERP Classification pt 5
28:47 Spatial Whitening in ERP Classification pt 6
28:51 Spatial Whitening in ERP Classification pt 7
29:18 Spatial Whitening in ERP Classification pt 8
30:11 Spatial Whitening in ERP Classification pt 9
32:02 Spatial Whitening in ERP Classification pt 10
32:14 Spatial Whitening in ERP Classification pt 11
32:43 Filters and Patterns pt 1
33:33 Filters and Patterns pt 2
34:16 Filters and Patterns pt 3
34:28 Filters and Patterns pt 4
34:50 Preconditioning and Regularization pt 1
34:53 Preconditioning and Regularization pt 2
35:36 Preconditioning and Regularization pt 3
35:59 Preconditioning and Prior Knowledge pt 1
36:43 Preconditioning and Prior Knowledge pt 2
37:12 Preconditioning and Prior Knowledge pt 3
37:56 Preconditioning and Prior Knowledge pt 4
38:43 Preconditioning and Prior Knowledge pt 5
38:46 Bilinear Discriminant Component Analysis pt 1
39:25 Bilinear Discriminant Component Analysis pt 2
39:29 Bilinear Discriminant Component Analysis pt 3
40:35 Sparsification
41:25 Does a Low-Rank Constraint Help pt 1
42:09 Does a Low-Rank Constraint Help pt 2
42:46 Example Decomposition (Auditory) pt 1
43:37 Example Decomposition (Auditory) pt 2
43:50 Example Decomposition (Auditory) pt 3
43:54 Example Decomposition (Auditory) pt 4
44:04 Example Decomposition (Auditory) pt 5
44:46 Classification Performance (Auditory)
45:06 Example Decomposition (Tactile) pt 1
45:36 Example Decomposition (Tactile) pt 2
46:00 Example Decomposition (Tactile) pt 3
46:01 Example Decomposition (Tactile) pt 4
46:03 Slow Waves Indicating Attention pt 1
46:58 Slow Waves Indicating Attention pt 2
47:13 Classification Performance
48:05 Bit Rates
48:34 Conclusions pt 1
49:03 Conclusions pt 2
50:26 Thank You

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