Table 1.
Probability of stinging (ps) for percept vESC at the end of learning processes with the parameters specified that are analysed in Fig. ??. Learning process #1 (triangles in Fig. ??) is used as a baseline for comparison
| Parameters | |||||||
|---|---|---|---|---|---|---|---|
| Panel | Process # | sth | k | rf | tatt | Δtv | ps±std |
| a | 1 | (16,40) | 1 | 0 | 0 | 10 | 0.005±0.002 |
| 2 | (16,40) | 1 | 0 | 60 | 10 | 0.023±0.011 | |
| b | 1 | (16,40) | 1 | 0 | 0 | 10 | 0.005±0.002 |
| 3 | (16,40) | 1 | 0.3 | 0 | 10 | 0.012±0.006 | |
| 4 | (16,40) | 1 | 0.6 | 0 | 10 | 0.024±0.010 | |
| c | 1 | (16,40) | 1 | 0 | 0 | 10 | 0.005±0.002 |
| 5 | (7,16) | 1 | 0 | 0 | 10 | 0.018±0.005 | |
| d | 1 | (16,40) | 1 | 0 | 0 | 10 | 0.005±0.002 |
| 6 | (16,40) n-u | 1 | 0 | 0 | 10 | 0.007±0.003 | |
| e | 1 | (16,40) | 1 | 0 | 0 | 10 | 0.005±0.002 |
| 7 | (16,40) | 1 | 0 | 0 | 20 | 0.006±0.002 | |
| f | 8 | (16,40) | 1 | 0 | 10 | 10 | 0.007±0.003 |
| 9 | (16,40) | 1 | 0 | 40 | 40 | 0.024±0.014 | |
Only one parameter (indicated in bold) is varied in each comparison. See main text for details. n-u non-uniform distribution