… It seems to have a natural sensitivity to human faces and can … In this research, we used
intracranial EEG recordings (ECoG… amounts of phase noise (ranging from 0 to 100% noise, in 5% …

… model for fMRI analysis, we incorporated parametric EEG regressors derived from the early
… We then compared the mean sensitivity and specificity of faces between the High Face and …

… analysis methods was based on previously obtained data on face perception and the applicability
of EEG analysis … complexity parameter, which reflects the complexity of the EEG signal, …

… of noise-sensitive neurons present in the face-processing … the electroencephalogram (EEG)
from 28 healthy subjects. Five of them were excluded from the analysis because their EEG …

… The overall aim of the study was to investigate dynamic face processing by co-registering
EEG and eye-movement recordings. The results of Experiment 1 revealed that the …

… face recognition. Most significantly, while the vast majority of studies use pictures of unfamiliar
… However, we argue that this typical approach is limited in providing sensitive, reliable and …

… (ERP) is very sensitive to configural information of the face, N170 has been … process, the
parameter of Regularize noise covariance is set to 0.02, the parameter of Signal-to-noise ratio is …

… parameter estimates within this region for all four Attention x Congruency conditions and
performed post-tests on covariation parameter … Attend Face condition, showing their sensitivity …

… of face detection in participants' electroencephalogram (EEG) … role of the right hemisphere
in high-level face perception. … characteristics of SF sensitivity across ecologically relevant …

… ) with human electroencephalography (EEG), one can obtain objective and sensitive measures
… of the current FPVS-EEG paradigm was to test human face perception under severe time-…