Table 2. Results of model comparison. Shown are AIC (top) and BIC (bottom) values for the models that best explained choice behavior of at least one animal. The best model (the smallest AIC or BIC value) for each animal is indicated in bold. Numbers in the parenthesis indicate the number of parameters for each model (including the inverse temperature). Vact and Vfic, sustained effects (value learning) of actual and fictive rewards, respectively; V, sustained reward effects of the model with equal learning rates for actual and fictive rewards (V = Vact = Vfic); Tact and Tfic, transient effects of actual and fictive rewards, respectively; Vq, constant increment of chosen value; bst, stay bias; bL, bias to select the left goal.
AIC of optimal models. | |||||||
---|---|---|---|---|---|---|---|
Rat No. | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
Vact,Tact,Vfic,Tfic,Vq,bst,bL [8] | 2194 | 1517 | 1570 | 2005 | 1435 | 1231 | 2110 |
Vact,Tact,Vfic,Tfic,Vq, bL [7] | 2184 | 1513 | 1572 | 2001 | 1431 | 1228 | 2112 |
Vact,Tact,Vfic,Vq, bL [6] | 2242 | 1556 | 1582 | 1999 | 1437 | 1238 | 2111 |
Vact,Tact,Tfic,Vq,bst, bL [7] | 2196 | 1515 | 1570 | 2015 | 1433 | 1234 | 2137 |
Vact,Tact,Tfic,Vq, bL [6] | 2184 | 1513 | 1573 | 2017 | 1431 | 1232 | 2153 |
V,Tact,Tfic,Vq,bst, bL [7] | 2184 | 1513 | 1572 | 2001 | 1431 | 1228 | 2112 |