Table 2.
Overview of computational model fits to each dataseta
| Model number | N model parameters per mouse | Forgetting function | Retrospective WM | Prospective WM | Side biases | Distal-response biases | Dataset 1 |
Dataset 2 |
Dataset 3 |
|||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| WAIC | ΔWAIC (SE) | WAIC | ΔWAIC (SE) | WAIC | ΔWAIC (SE) | |||||||
| M1 | 3b | Power-law | ✓ | — | — | — | 71 495.2 | 15 678.6 (362.0) | 7940.5 | 584.8 (74.3) | 3807.6 | 441.9 (76.1) |
| M2 | 2 | Power-law | — | ✓ | — | — | 71 471.2 | 15 654.7 (361.1) | 8491.5 | 1135.8 (103.5) | 6753.4 | 3387.6 (359.0) |
| M3 | 1 | NA | — | — | ✓ | — | 66 937.5 | 11 120.9 (370.9) | 14 189.0 | 6833.3 (300.2) | 10 405.6 | 7039.8 (576.7) |
| M4 | 1 | NA | — | — | — | ✓ | 76 250.8 | 20 434.3 (422.7) | 14 321.4 | 6965.7 (296.0) | 10 502.6 | 7136.8 (571.0) |
| M5 | 4 | Power-law | — | ✓ | ✓ | ✓ | 56 025.8 | 211.3 (65.5) | 7378.2 | 22.5 (15.7) | 3812.1 | 446.3 (80.9) |
| M6 | 5b | Power-law | ✓ | — | ✓ | ✓ | 57 088.1 | 1271.6 (117.6) | 7511.2 | 155.5 (36.7) | 3382.2 | 16.5 (18.5) |
| M7 | 5b | Power-law | ✓ | ✓ | — | ✓ | 68 261.1 | 12 444.5 (335.2) | 7771.4 | 415.7 (61.4) | 3707.8 | 342.0 (69.7) |
| M8 | 5b | Power-law | ✓ | ✓ | ✓ | — | 58 258.4 | 2441.9 (148.0) | 7511.9 | 156.2 (36.7) | 3401.1 | 35.3 (17.4) |
| M9 | 6b | Power-law | ✓ | ✓ | ✓ | ✓ | 55 816.5 | — | 7355.0 | — | 3365.8 | — |
aWAIC values are presented on a deviance scale (lower values indicate better model fit). Equivalent model fits for exponential and sigmoidal forgetting functions can be found in Extended Data Tables 2-1 and 2-2, respectively. Model parameter estimates for the best-fitting model M9 can be found in Extended Data Table 2-3. Results of a further comparison of variants of M9 with two forgetting rates can be found in Extended Data Table 2-4. Results of model comparison for data from control animals only can be found in Extended Data Table 2-5.
bThere is one fewer parameter per mouse in Dataset 3 because a smaller number of separations in this dataset rendered the α parameter nonidentifiable.