Table 1.

Logistic regression models forecasting aggregate stock price dynamics (experiment 1)

Market modelBehavioral modelNeural modelCombined model
Intercept1.157 (0.470)*−1.041 (0.723)−0.046 (0.195)−0.135 (1.041)
Slope−1.895 (1.689)−2.943 (1.845)
Volatility−0.055 (0.033)−0.035 (0.036)
Previous trial−0.954 (0.364)**−1.262 (0.464)**
Choice2.060 (1.291)1.980 (1.519)
NAcc activity6.227 (2.827)*8.892 (4.151)*
NAcc*Prv Trial−2.513 (7.136)
AIns activity−2.610 (2.658)5.038 (4.099)
AIns*Prv trial−12.748 (6.101)*
MPFC activity−0.659 (1.932)−0.939 (3.216)
MPFC*Prv trial−1.656 (4.622)
R2 0.0570.0140.0300.136
χ2 model10.834*2.6125.55425.596**
AIC185.438189.659190.717184.675
  • Statistics are coefficients with SEMs in parentheses. Predicted associations in bold.

  • **p < 0.01;

  • *p < 0.05.

  • R2 is McFadden's pseudo-R2.