A Neural Model of Adaptation in Reading
Table 1: Fixed effect regression coefficients from fitting self-paced reading times. The top model lacks fixed and random effects of adaptive surprisal. In general, a coefficient is significant when |t|>2.
['[EMPTY]', '^ [ITALIC] β', '^ [ITALIC] σ', 't']
Crucially, non-adaptive surprisal was no longer a significant predictor of reading times once adaptive surprisal was included. This indicates that the predictions of the adaptive model subsume the predictions of the non-adaptive one.