Craig G. Richter

The paper investigates how temporal uncertainty affects neural responses to predictable visual stimuli, finding that uncertainty increases expectation suppression and reduces sustained decoding accuracy for early visual responses.

The paper investigates how alpha and beta brain rhythms support language-mediated visual object recognition by analyzing EEG data during a cue-picture matching task.

The paper identifies pre-stimulus beta-band EEG activity as a neural signature of statistical learning, showing it correlates with learning outcomes and evolves with pattern exposure.

The paper investigates brain rhythms during attention shifting and deployment in macaques, finding distinct frequency band modulations in different brain areas.

This paper evaluates five DFC methods through simulations and introduces a benchmarking tool for comparing DFC methods.

The paper investigates how top-down beta-band influences from parietal area 7a enhance bottom-up gamma-band processing in visual areas V1 and V4 during attentional tasks.