Table 1.

Comparison of goodness-of-fit between location-based and motion-based RL models using −LL, AIC or BIC. Δ(−LL, AIC, or BIC) shows the median of the difference between location-based and motion-based RL models fitted for each session separately. Note that all differences in goodness-of-fit measures (based on −LL, AIC, and BIC) are similar because the number of parameters is the same across location-based and motion-based models. P-values indicate the significance of the statistical test (two-sided sign-test) for comparing the goodness-of-fit between the location-based and motion-based RLs.

	RLret	RLInc(1)	RLInc(2)	RLInc(3)
Monkey 1	Δ(−LL, AIC, or BIC)=−5.48 p=2.55 * 10−7	Δ(−LL, AIC, or BIC)=−7.19 p=2.58 * 10−9	Δ(−LL, AIC, or BIC)=−6.53 p=1.39 * 10−8	Δ(−LL, AIC, or BIC)=−8.06 p=5.32 * 10−10
Monkey 2	Δ(−LL, AIC or BIC)=−60.96 p=2.74 * 10−21	Δ(−LL, AIC or BIC)=−105.71 p=2.58 * 10−26	Δ(−LL, AIC, or BIC)=−103.46 p=2.58 * 10−26	Δ(−LL, AIC, or BIC)=−107.25 p=2.58 * 10−26