Table 1.
Canonical Variate Analysis and Support Vector Machine classification performance of perceptual experience.
| Data type | MNI seed coordinates | CVA discrimination (%) | Linear SVM | Non-linear SVM | ||
|---|---|---|---|---|---|---|
| Subject Classification (%) | Trial classification [median % (range)] | Subject classification (%) | Trial classification [median % (range)] | |||
| Sensor | N/A | 9 (64) | 9 (64) | 53.6 (50.1–56.4) | 14 (100) | 53.8 (51.8–56.7) |
| Source | N/A | 10 (71) | 9 (64) | 52.6 (50.3–58.3) | 13 (93) | 53.7 (50.4–58.1) |
| Right auditory cortex | 54 – 14 11 | 11 (79) | 11 (79) | 54.1 (50.2–58.5) | 12 (86) | 54.2 (50.9–58.3) |
| Left auditory cortex | −49 – 20 5 | 7 (50) | 7 (50) | 51.9 (47.6–56.1) | 9 (64) | 52.3 (49.7–56.4) |
| Right posterior inferior parietal sulcus | 34 – 72 38 | 0 (0) | 0 (0) | 49.5 (47.9–51.1) | 6 (43) | 51.4 (49.7–55.2) |
Table lists the classification performance for the canonical variate analysis, linear and non-linear Support Vector Machine classification employed. Data are reported as number of subjects classified out of 14 total (%), and for SVM the median (%) and range (%) of correct trial classification.