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. Author manuscript; available in PMC: 2010 Dec 1.
Published in final edited form as: Cognition. 2009 May 8;113(3):293–313. doi: 10.1016/j.cognition.2009.03.013

Table 4.

Comparison of mean AICimb score for the Q-learning network model when only certain types of inputs are provided relative to baseline. The bank A, B, and C refer to the different types of input illustrated in Figure 5 (i.e., the continuous state cue, the 11 discrete state cues, or the reward from the previous trial, respectively). Again, positive values indicate conditions where the tested model provided a better fit than did the standard while negative value indicate a worse fit. In parentheses is the percentage of participants for whom the model provides a better fit than baseline. The top row (Bank A, B, & C) refers to the full model reported in Table 2.

Experiment 1
Provided Inputs no-cue shuffled-cue consistent-cue
Bank A, B, & C 93.2 (0.94) 166.7 (0.94) 118.2 (0.94)

No Inputs −80.2 (0.00) −81.7 (0.00) −189.7 (0.00)

Bank A & B only −80.2 (0.00) 108.8 (0.94) 73.8 (0.88)
Bank A Only −80.2 (0.00) −17.5 (0.59) 61.8 (0.88)
Bank B Only −80.2 (0.00) 93.9 (0.94) −3.1 (0.47)