Géza Gergely Ambrus

Shared Neural Codes for Emotion Recognition in Emoji and Human Faces

This study investigates neural dynamics for emotion recognition in real faces and emojis, finding overlapping spatio-temporal codes for both.

Shared Neural Dynamics of Facial Expression Processing

This study investigates shared neural dynamics in facial expression processing using EEG data, showing that sex, identity, and emotion can be decoded across participants and that emotional expressions are processed more rapidly than neutral ones.

Shared neural codes of recognition memory

The paper investigates shared neural codes in recognition memory using EEG data, finding generalized signals for face stimuli and dissociation between familiar and remembered objects.

Your place or mine? The neural dynamics of personally familiar scene recognition suggests category independent familiarity encoding

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.

No Semantic Information is Necessary to Evoke General Neural Signatures of Face Familiarity - Evidence from Cross-Experiment Classification

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

Characterizing the shared signals of face familiarity: long-term acquaintance, voluntary control, and concealed knowledge

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

Evidence for a general neural signature of face familiarity

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.

Prolonged and distributed processing of facial identity in the human brain

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.

Inhibition of the occipital face area modulates the electrophysiological signals of face familiarity positively: a combined cTBS-EEG study

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.

When less is more: Enhanced statistical learning of non-adjacent dependencies after disruption of bilateral DLPFC

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.

The neural dynamics of familiar face recognition

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