Figure 5.

Results of the multilevel response time model used to examine relationships between neural measures and AC inference performance. A, Fit of response time model to accuracy on individual AC inference trials. B, Fit of response time model to trial-level inference response times. C, We examined whether reactivation of related memories during BC study or neural similarity change (Δ) in hippocampal subfields after learning predicted trial-level variability in AC inference performance (i.e., the slope of the drift rate from the model). Negative values indicate a decrease in the neural measures predicted faster and more accurate inference, whereas positive values indicate an increase in the neural measures predicted better inference. Reactivation of related memories and representational change within subiculum predicted improved AC inference performance. Bars represent 95% HDIs of posterior parameter estimates.