Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

This article constitutes a state-of-the-art review of the literature on the effects of expectations
on the sensory perception of food and drink by humans. In the 'Introduction', we summarize …

Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

This article explains the foundational concepts of Bayesian data analysis using virtually no
mathematical notation. Bayesian ideas already match your intuitions from everyday …

A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a
hypothesis-testing mechanism, one that attempts to minimise the error of its predictions …

Memory is fleeting. New material rapidly obliterates previous material. How, then, can the
brain deal successfully with the continual deluge of linguistic input? We argue that, to deal …

Many models of cognition and of neural computations posit the use and estimation of prior
stimulus statistics,,,: it has long been known that working memory and perception are …

Bayesian inference has become a standard method of analysis in many fields of science.
Students and researchers in experimental psychology and cognitive science, however, have …

A work that reveals the profound links between the evolution, acquisition, and processing of
language, and proposes a new integrative framework for the language sciences. Language …

Behavioral economics began with the intention of eliminating the psychological blind spot in
rational choice theory and ended up portraying psychology as the study of irrationality. In its …