Representational and sampling assumptions drive individual differences in single category generalisation

On simplicity and emergence

Structure at every scale: A semantic network account of the similarities between very unrelated concepts

Representations, approximations, and limitations within a computational framework for cognitive science: Commentary on article by Tecumseh Fitch

Anticipating changes: Adaptation and extrapolation in category learning

How recursive is language? A Bayesian exploration

Probabilistic models of cognition: Exploring representations and inductive biases

Learnability, representation, and language: A Bayesian approach