Table 2.
Parameter estimates for the two components of learning using 6-s-ITI trials for learning acquisition with 2.5-s-ITI probes
| 6-s-ITI Trial, Value | 6-s ITI Trial, 95% CI | 2.5-s-ITI Probe, Value | 2.5-s-ITI Probe, 95% CI | |
|---|---|---|---|---|
| Monkey RE, raw | ||||
| A1 | 3.41 | 3.29–3.50 | 3.90 | 3.64–4.09 |
| τ1 | 4.10 | 3.74–4.44 | 4.28 | 3.43–5.07 |
| A2 | 5.28 | 2.98–8.32 | 8.20 | 2.61–9.57 |
| τ2 | 1,225 | 548–2,000 | 2,000 | 437–2,000 |
| Monkey YO, raw | ||||
| A1 | 3.71 | 3.05–4.02 | 5.03 | 3.88–5.93 |
| τ1 | 6.81 | 3.16–10.09 | 6.52 | 3.50–10.4 |
| A2 | 0.83 | 0.51–2.51 | 1.40 | 0.38–2.97 |
| τ2 | 228 | 65.7–2,000 | 144 | 79.7–1,350 |
| Monkey RE, gain adjusted | ||||
| A1 | 3.60 | 3.52–3.68 | 3.65 | 3.44–3.85 |
| τ1 | 3.26 | 3.00–3.53 | 3.89 | 3.21–4.64 |
| A2 | 7.76 | 7.09–8.33 | 6.51 | 2.95–7.94 |
| τ2 | 2,000 | 2,000 | 769–2,000 | |
| Monkey YO, gain adjusted | ||||
| A1 | 3.98 | 2.96–4.27 | 3.72 | 2.78–4.41 |
| τ1 | 8.87 | 5.01–12.3 | 8.38 | 5.00–12.4 |
| A2 | 0.87 | 0.47–3.20 | 1.49 | 0.72–2.97 |
| τ2 | 325 | 55.7–2,000 | 165 | 86.3–1,006 |
Parameter estimates were calculated from maximum likelihood estimates according to Eq. 2 using data from all valid trials from all sessions. Confidence bounds were derived from bootstrap distributions of parameters. Estimates are shown for learning curves fit to each monkey and each intertrial interval (ITI) separately. Monkey RE: from 500 trial learning blocks, 15 sessions with 4,365 6-s-ITI trials and 536 2.5-s-ITI probes; from 1–100 trial learning blocks, 10 sessions with 1,798 6-s-ITI trials and 260 2.5-s-ITI probes. Monkey YO: from 500 trial learning blocks, 6 sessions with 1,460 6-s-ITI trials and 210 2.5-s-ITI probes; from 1–100 trial learning blocks, 0 sessions and trials.