Laterality effects in normal subjects' recognition of familiar faces, voices and names. Perceptual and representational components

G Gainotti - Neuropsychologia, 2013 - Elsevier
A growing body of evidence suggests that a different hemispheric specialization may exist
for different modalities of person identification, with a prevalent right lateralization of the …

Personalization of restorative and compensatory treatments for people with aphasia: A review of the evidence

A Thiessen, J Brown - Topics in Language Disorders, 2021 - journals.lww.com
Speech–language pathologists serving individuals with aphasia must make many decisions
regarding assessment and intervention practices to support comprehension and expression …

An EEG based familiar and unfamiliar person identification and classification system using feature extraction and directed functional brain network

W Chang, H Wang, G Yan, C Liu - Expert Systems with Applications, 2020 - Elsevier
People are extremely proficient at recognizing familiar person, but are much worse at
matching unfamiliar one. However, the neural correlation of this proposed difference in …

[HTML][HTML] Modulation of alpha oscillations in the human EEG with facial preference

JH Kang, SJ Kim, YS Cho, SP Kim - PloS one, 2015 - journals.plos.org
Facial preference that results from the processing of facial information plays an important
role in social interactions as well as the selection of a mate, friend, candidate, or favorite …

[HTML][HTML] Are happy faces attractive? The roles of early vs. late processing

D Sun, CCH Chan, J Fan, Y Wu, TMC Lee - Frontiers in psychology, 2015 - frontiersin.org
Facial attractiveness is closely related to romantic love. To understand if the neural
underpinnings of perceived facial attractiveness and facial expression are similar constructs …

Neural responses of in-group “favoritism” and out-group “discrimination” toward moral behaviors

D Mei, W Zhang, L Yin - Neuropsychologia, 2020 - Elsevier
People hate being deceived. However, what would it be if lies come from in-group members
compared with that from out-group members? In the current Electroencephalography (EEG) …

EEG-Based Familiar and Unfamiliar Face Classification Using Filter-Bank Differential Entropy Features

G Liu, Y Wen, JH Hsiao, D Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The face recognition of familiar and unfamiliar people is an essential part of our daily lives.
However, its neural mechanism and relevant electroencephalography (EEG) features are …

EEG-FRM: a neural network based familiar and unfamiliar face EEG recognition method

C Chen, L Fan, Y Gao, S Qiu, W Wei, H He - Cognitive Neurodynamics, 2024 - Springer
Recognizing familiar faces holds great value in various fields such as medicine, criminal
investigation, and lie detection. In this paper, we designed a Complex Trial Protocol-based …

EEG-based familiar and unfamiliar face classification using differential entropy feature

G Liu, D Zhang, L Tian, W Zhou - 2021 IEEE 2nd International …, 2021 - ieeexplore.ieee.org
This study presents a novel approach for familiar and unfamiliar face classification based on
electroencephalography (EEG). Firstly, the raw EEG epoch is temporally split into three …

Familiar/unfamiliar face classification from EEG signals by utilizing pairwise distant channels and distinctive time interval

A Özbeyaz, S Arıca - Signal, Image and Video Processing, 2018 - Springer
The aim of the study is to classify single trial electroencephalogram and to estimate active
regions/locations on skull in unfamiliar/familiar face recognition task. For this purpose …