From: Spike pattern recognition by supervised classification in low dimensional embedding space
Method | No. subj. | Length (min) | No. spikes | Sensitivity | FP/min |
---|---|---|---|---|---|
Proposed method | 1 | 540 | 101 | 0.97 | 0.1 |
Davey et al. [7] | 1 | 5.3 | 23 | 0.74 | 0.4 |
Dingle et al. [8] | 11 | 180 | 462 | 0.67 | 0 |
Witte et al. [10] | 1 | 1 | 50 | 0.90 | 4.0 |
Senhadji et al. [11] | 1? | 10 | 982 | 0.86 | 6.8 |
Fischer et al. [12] | 10 | 8 | 341 | 0.73 | 1.0 |
De Lucia et al. [13] | 7 | 121 | N/R | 0.65 | 6.0 |
Gabor, Seyal [14] | 5 | 63.8 | 752 | 0.97 | 1.5 |
Hostetler et al. [34] | 5 | 100 | 1393 | 0.76 0.87 | 5.2 1.4 |
Webber et al. [35] | 10 | 40 | 927 | 0.73 | 6.1 |
Feucht et al. [36]. | 3 | 90 | 1509 | 0.88 | 1.8 |
Ramabhadran et al. [18] | 18 | 270 | 982 | 0.96 | 0.4 |
Wilson et al. [37] | 50 | 143 | 1952 | 0.47 0.15 0.70 | 2.5 3.2 4.1 |
James et al. [38] | 35/8 | 856/192 | 3096/190 | 0.55 | 0.1 |
Sugi et al. [39] | 11 | 8 | 77 | 0.37 | 16.0 |
Acir et al. [40] | 19/10 | 210/228 | 216/93 | 0.89 | 0.1 |
Argoud et al. [41] | 7 | N/R | 6721 | 0.71 | 0.1 |