Table 3. Spike sorting results of four software packages, Klusta-Kwik, wave_clus, Osort, and NeuroQuest, with five datasets, four simulated data and one real data.
SNR4 (11 units) | SNR3 (11 units) | SNR2 (11 units) | Wave_clus data (3 units) | real data (5 units) | |
---|---|---|---|---|---|
Klusta Kwik | (11 units) TP: 99.96% | (11 units) TP: 95.32% | (9 units) TP : 86.82% | (1 units) TP : 42.51% | (3 units) TP : 67.43% |
Wave_clus | (11 units) TP : 99.96% | (10 units) TP : 92.50% | (8 units) TP : 86.48% | (3 units) TP : 98.48% | (4 units) TP : 84.72% |
Osort | (11 units) TP : 99.84% | (11 units) TP : 93.13% | (9 units) TP : 85.83% | (1 units) TP : 46.72% | (2 units) TP : 41.75% |
Neuro Quest | (11 units) Temporal PCA Fuzzy c-mean TP : 99.92% |
(11 units) Temporal PCA Fuzzy c-mean TP : 98.84% |
(10 units) Temporal PCA Fuzzy c-mean Class merging Sub-clustering TP : 91.43% |
(2 units) wavelet footprint Fuzzy c-mean TP : 73.24% |
(5 units) Temporal PCA Fuzzy c-mean TP : 98.85% |