Alice Hodapp

The paper shows that confidence and surprise in learning tasks have stable cortical patterns linked to neuromodulatory systems and receptor distributions.

The paper uses Bayesian models to predict N400 and P600 brain signals by analyzing semantic regularities in sequences of nouns.

The paper investigates how repetition and sentence context affect implicit language learning through EEG, finding that sentence-based predictions improve with repetition regardless of constraint.

The paper shows that neural excitability and stimulus intensity affect perceived intensity in opposing ways during early cortical responses.

The paper investigates the N400 ERP component as a learning signal during language comprehension by linking it to implicit memory adaptation.