Face Recognition and Perception

The paper investigates how social cues influence perceptual decisions and confidence, finding that neural activity in the frontal cortex mediates this effect, particularly in response to conflicting cues.

The paper investigates whether the brain has modality-general person-identity representations and finds evidence for such representations in the right posterior superior temporal sulcus using fMRI and RSA.

This study examines the relationship between personality traits, experience, and the own-gender bias in face recognition, finding direct links between extraversion, Autism Quotient, and the bias.

This study uses reverse correlation to examine how brain activity in experts and novices correlates with visual features in CCTV footage of prosocial and antisocial interactions.

This study investigates how top-down control between individuation and grouping affects face representations in the visual cortex using fMRI.

The paper uses fMRI to study brain activity in children, adolescents, and adults while viewing emotional body movements, finding no age differences in emotion modulation of body-selective areas.

This study examines how gender differences affect brain responsivity to emotional faces in alcoholic and nonalcoholic individuals, finding distinct neural activation patterns between genders and alcoholism status.

The paper investigates how face memory relies on connections between visual, memory, social, and auditory networks, finding it is specific to faces and not other objects.

The paper tests predictive coding theory by showing that different visual features elicit distinct prediction errors in specific brain regions during a visual mismatch task.

This study uses EEG decoding to compare how facial expression and identity are processed under explicit and implicit task contexts, finding differences in decoding patterns and task effects.

This study investigates the time course of face perception by analyzing neural responses to faces and finds that gender and age information emerge before identity information, with familiar faces showing enhanced early processing.

The paper shows that facial features fixated longer during face recognition elicit stronger neural discrimination responses, indicating eye movements influence neural processing of face identity.

This paper demonstrates that combining humans, brain-computer interfaces, and machine-vision algorithms in cyborg groups improves face recognition accuracy in crowded environments by up to 35%.

This study investigates rapid face processing by manipulating presentation duration and using MEG to show two stages of face perception linked to behavior.

The paper investigates how emotion and expectation interact in conscious perception by examining responses to neutral and fearful faces under different probability conditions using bCFS.

The paper identifies a subcortical pathway from the pulvinar to the amygdala in humans that enhances fear recognition through increased fibre density and dynamic coupling.

The paper investigates how ageing delays neural processing of face features, showing a 40 ms delay in occipital-temporal pathway activity that correlates with slower behavioural responses.

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

This study compares neural and behavioral responses to cartoon and real faces using ERP and behavioral measures, finding differences in processing intensity, speed, and attentional allocation.

The paper examines if individual differences in norepinephrine receptor function influence emotionally biased competition during sustained attention, finding no effect of the ADRA2B gene variant.

The paper defines 19 FOC features using analytical geometry and evaluates their contribution to perceived faceness in abstract stimuli through psychophysical experiments.

The paper examines how the brain represents social relationships using fMRI and RSA, finding that neural similarity patterns in specific brain regions correlate with the accuracy of learning face pair relationships.

The paper shows that processing ambiguous images as meaningful (e.g., faces) predicts better memory, using EEG to identify this effect.

The paper investigates fear generalization by analyzing fixation patterns on faces, finding that threat prediction drives adaptive changes in visual exploration strategies.

The paper investigates how temporal expectations affect face image repetition suppression using event-related potentials, finding differing effects on early and late response components.

The paper uses EEG and eye-tracking to show that visual stability during saccades involves two stages: pre-saccadic prediction and early post-saccadic change detection, as evidenced by the fN170 response.

The paper investigates ERP effects of happy faces and monetary reward, finding distinct processing stages for each, with reward effects emerging only after learning.

The paper shows that face-selective brain columns match deep convolutional networks in intermediate layers, suggesting a role in pictorial face representation rather than person identification.

This study uses image reconstruction to assess shape and surface information in face processing across behavioral, EEG, and fMRI data, finding surface information is better recovered and more cross-modal consistent.

The paper develops a framework linking signal detection theory and encoding models to quantify perceptual separability of neural representations in neuroimaging data.