From: Spike pattern recognition by supervised classification in low dimensional embedding space
Method | No. subj. | Length (min) | No. spikes | Sensitivity | Selectivity |
---|---|---|---|---|---|
Proposed method | 1 | 540 | 101 | 0.97 | 0.63 |
Inan and Kuntalp [15] | 5/3 | N/R | 53/15 | 0.60 | 0.82 |
Indiradevi et al. [17] | 22 | N/R | 684 | 0.92 | 0.78 |
Park et al. [19] | 32 | N/A | N/A | 0.97 | 0.90 |
Ozdamar, Kalayci [20] | 5 | 75 | N/R | 0.93 | 0.94 |
Goelz et al. [42] | 11 | 278 | 298 | 0.84 | 0.12 |
Kurth et al. [43] | 4 | N/R | N/R | 0.62 | 0.61 |
Liu et al. [44] | 81 | 48,000 | 6048 | 0.90 | 0.94 |
Sartoretto et al. [45] | 10 | 79 | 166 | 0.96 | 0.37 |
Latka and Was [46] | 4 | N/R | 340 | 0.70 | 0.67 |
Adjouadi et al. [47] | 10/21 | ~800 | 319 | 0.82 | 0.92 |
Adjouadi et al. [48] | 9/9 | ~450 | 47/139 | 0.79 | 0.85 |
Exarchos et al. [49] | 25 | 375 | 137 | 0.86 | 0.83 |
Tzallas et al. [50] | 15/10 | ~225/150 | 163/111 | 0.89 | 0.83 |
Van Hese et al. [51] | 8 | 130 | 1625 | 0.92 | 0.77 |