Gyula Kovács

The paper investigates how stimulus category affects conscious access during motion-induced blindness, finding category-related differences in the temporal dynamics of visibility.

This study investigates how familiarity with faces is represented in the brain during cued recall using EEG and multivariate pattern analysis, finding overlapping neural patterns between perception and imagery.

This study shows that person-related biographical knowledge modulates the timing and strength of face identity representations in the brain.

This study investigates the neural effects of typicality and predictability on face and object stimuli using fMRI, finding no interaction between predictability and typicality in key brain regions.

This study uses EEG and multivariate pattern analysis to show that familiarity with scenes and faces is decoded from neural signals with similar temporal dynamics, suggesting category-independent familiarity encoding.

The paper tests predictive coding models by examining ERP responses to probabilistic cues and finds no evidence of expectation suppression or surprise effects, but observes repetition effects.

This study investigates how context-induced expectations affect object processing using fMRI repetition suppression, finding stronger suppression in congruent contexts due to enhanced responses to alternating stimuli.

The paper shows that neural patterns of face familiarity can be decoded without semantic or affective information, using EEG data from two different tasks.

The paper investigates the spatio-temporal dynamics of a shared face familiarity signal in EEG data across different task conditions and exposure types.

The paper investigates repetition suppression effects in the Visual Word Form Area for Chinese characters and German words, showing that prior language experience modulates the probability of repetition effects.

The paper investigates a general neural signature of face familiarity using cross-experiment EEG decoding across different familiarization methods and finds a consistent signal in the right hemisphere between 270-630 ms.

This study investigates the spatio-temporal dynamics of facial identity processing in the human brain using combined fMRI and EEG data, revealing prolonged and distributed neural activity.

This study uses cTBS and EEG to show that inhibiting the right OFA increases electrophysiological differences between familiar and unfamiliar faces, suggesting a causal role in face recognition.

The paper shows that repetition suppression in the Fusiform Face Area is inflated by differences in stimulus predictability between repeated and alternating trials.

This study shows that disrupting the DLPFC with TMS improves statistical learning of non-adjacent dependencies, suggesting a shift from model-based to model-free learning.

This study uses EEG to show that face identity representations emerge gradually, becoming invariant to sex and image variations by 400ms after stimulus onset.

The paper investigates holistic face processing in peripheral visual fields using face inversion effects and ERP components, finding robust inversion effects and right hemisphere lateralization.