The role of stimulus-specific perceptual fluency in statistical learning

Humans have the ability to learn surprisingly complicated statistical information in a variety of modalities and situations, often based on relatively little input. These statistical learning (SL) skills appear to underlie many kinds of learning, but …

Cross-situational learning in a Zipfian environment

Shows that cross-situational word learning is improved when words and meanings are distributed in a Zipfian manner.

Modeling individual performance in cross-situational word learning

The structure of sequential effects

What Bayesian modelling can tell us about statistical learning: What it requires and why it works

Humans use different statistics for sequence analysis depending on the task