Researchers agree that comprehenders regularly predict upcoming language, but they do
not always agree on what prediction is (and how to differentiate it from integration) or what …

Brains, it has recently been argued, are essentially prediction machines. They are bundles
of cells that support perception and action by constantly attempting to match incoming …

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 …

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 …

When we read or listen to language, we are faced with the challenge of inferring intended
messages from noisy input. This challenge is exacerbated by considerable variability …

Speakers show a remarkable tendency to align their productions with their interlocutors'.
Focusing on sentence production, we investigate the cognitive systems underlying such …

This study provides evidence for implicit learning in syntactic comprehension. By
reanalyzing data from a syntactic priming experiment (Thothathiri & Snedeker, 2008), we …

The Bayesian brain hypothesis provides an attractive unifying framework for perception,
cognition, and action. We argue that the framework can also usefully integrate interoception …

Why do brains have so many connections? The principles exposed by Andy Clark provide
answers to questions like this by appealing to the notion that brains distil causal regularities …

Growing evidence suggests that syntactic processing may be guided in part by expectations
about the statistics of the input that comprehenders have encountered; however, these …