Table 1 Model comparison with neurally decoded regressors.

From: Dissociable neural correlates of uncertainty underlie different exploration strategies

Model

Regressors

AIC

BIC

LL

Deviance

Baseline

UCB/Thompson hybrid with intercept (Eq. (4))

1 + V + RU + V/TU

6352.75

6410.00

 − 3168.37

6336.75

\(\widehat{{\bf{RU}}}\) and \(\widehat{{\bf{TU}}}\) from right RLPFC

Baseline augmented with \(\widehat{{\rm{RU}}}\) (Eq. (12))

1 + V + RU + V/TU + \(\widehat{{\rm{RU}}}\)

6334.97

6406.54

 − 3157.48

6314.97

Baseline augmented with \(\widehat{{\rm{TU}}}\) (Eq. (13))

1 + V + RU + V/TU + V/\(\widehat{{\rm{TU}}}\)

6350.00

6421.57

 − 3165.00

6330.00

\(\widehat{{\bf{RU}}}\) and \(\widehat{{\bf{TU}}}\) from right DLPFC

Baseline augmented with \(\widehat{{\rm{RU}}}\) (Eq. (12))

1 + V + RU + V/TU + \(\widehat{{\rm{RU}}}\)

6347.28

6418.85

 − 3163.64

6327.28

Baseline augmented with \(\widehat{{\rm{TU}}}\) (Eq. (13))

1 + V + RU + V/TU + V/\(\widehat{{\rm{TU}}}\)

6286.96

6358.53

 − 3133.48

6266.96

\(\widehat{{\bf{RU}}}\) from right RLPFC and \(\widehat{{\bf{TU}}}\) from right DLPFC

Baseline augmented with \(\widehat{{\rm{RU}}}\) and \(\widehat{{\rm{TU}}}\) (Eq. (14))

1 + V + RU + V/TU + \(\widehat{{\rm{RU}}}\) + V/\(\widehat{{\rm{TU}}}\)

6273.14

6359.03

 − 3124.57

6249.14

\(\widehat{{\bf{DV}}}\) from left M1

 

Baseline augmented with \(\widehat{{\rm{DV}}}\) (Eq. (15))

1 + V + RU + V/TU + \(\widehat{{\rm{DV}}}\)

6336.27

6407.84

 − 3158.13

6316.27

  1. Model fits after augmenting the UCB/Thompson hybrid (Eq. (4)) with estimates of relative uncertainty, total uncertainty, and decision value, decoded from brain activity. Lower AIC, BIC, and deviance indicate better fit.
  2. AIC: Akaike information criterion, BIC: Bayesian information criterion, LL: maximized log likelihood.