Trevor A. Brothers

This paper proposes a predictive coding model to explain the N400 event-related potential by framing it as lexico-semantic prediction error during language comprehension.

The paper uses MEG and ERPs to study how the brain processes expected, unexpected, and implausible words during language comprehension, interpreting results through a predictive coding framework.

This study shows that domain-general conflict monitoring predicts both behavioral and neural responses to linguistic errors during reading comprehension.

The paper investigates distinct neural responses to fulfilled and violated predictions at different levels of representation during language comprehension, identifying specific ERP components associated with each.

The paper examines age-related changes in 1/f neural noise and its predictive power for ERP correlates of lexical prediction during discourse comprehension in young and older adults.