Face Recognition and Perception

This study shows that human attractiveness ratings of AI-synthesized faces decrease due to belief in their synthetic origin, not their appearance, and this effect is reflected in neural responses in the fusiform cortex.

This study shows that the gaze cueing effect is context-dependent, as participants reduced attention shifts when gaze was interpreted as reflecting cognitive effort rather than external attention.

This study shows emotional stimuli affect attention over time, with different patterns for neutral, happy, and threat faces, challenging fixed-effect assumptions about emotion-attention interactions.

This study investigates whether the Gaze Following Patch (GFP) in the posterior temporal cortex differentiates between social gaze cues and symbolic spatial cues like arrows, finding no such differentiation.

The paper investigates when face-selective cortical responses emerge in infants, finding early selectivity in FFA, STS, and MPFC but not OFA in young infants.

The paper shows that perceptual similarity judgments are linked to an individual's discrimination capacities, with similarity reflecting their ability to discern stimuli.

The paper investigates how moral value judgments of faces are encoded in the brain using EEG-fMRI, finding that the left caudate tail encodes these memories without involving the fusiform face area.

This study investigates how prior knowledge and motion cues interact to influence the temporal dynamics of agent perception using EEG and RSA.

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.

The paper shows that face-selective brain regions share spatial sampling patterns with early visual cortex, supporting a hierarchical model of visuospatial organization in face recognition.

The paper uses visual periodicity to show that attention to faces has distinct neural processing patterns compared to non-face categories.

This study shows that face perception acuity varies systematically across the visual field, mirroring patterns seen in low-level visual processing.

The paper shows that perceptual decisions about threat in facial displays are prioritized in neural coding, with earlier motor-related predictions for emotional stimuli than non-emotional ones.

This study shows that facial expression recognition is enhanced when faces are behind the observer, with anger being more detectable than happiness, suggesting a threat detection mechanism.

The paper compares neuronal mechanisms of learning a visual task between patients with body dysmorphic disorder and healthy individuals, finding substantial differences in brain activation patterns.

This study identifies neural computations underlying face identification loss in a prosopagnosia patient using EEG, RSA, and deep neural networks, revealing impaired high-level visual and semantic processing.

This paper shows that mirror-symmetric viewpoint tuning emerges in convolutional neural networks trained on object recognition tasks, even without face-specific training, and explains its mechanism through reflection-equivariant representations.

The paper examines individual differences in memory reinstatement patterns in human face-selective cortex during encoding and retrieval.

The paper identifies a localized population of neurons in social wasps that are specifically tuned to wasp faces, analogous to face cells in primates.

This study shows that a convolutional neural network with face identity recognition experience generates brain-like neural representations of personality traits, unlike networks without such experience.

This study uses fMRI to investigate brain networks involved in attributing social status from face adornments, identifying key regions and their interactions.

The paper presents a network model that explains both concordant and discordant results in human neuroimaging studies of facial viewpoint selectivity by incorporating biological constraints and analyzing low-level stimulus biases.

The paper decodes face recognition abilities from brain activity in super-recognisers and typical recognisers using multivariate pattern analysis and compares them to computational models.

The paper investigates how emotion and gender influence awareness using visual masking and body images, finding that threatening expressions are more detectable, especially by males viewing male stimuli.

The paper introduces disentangled deep generative models to interpret human face processing brain activity and finds interpretable latent dimensions that align with fMRI data and a gradient of face feature representation.

This study examines the relationship between neonatal amygdala microstructure and attention to emotional faces, finding a negative association between amygdala mean diffusivity and disengagement from fearful faces.

This study combines EEG, eye-tracking, and deconvolution modeling to analyze brain responses during face recognition, finding that microsaccades do not carry emotional content information.

The paper investigates how neurons in different amygdala nuclei encode face animacy and reward information during decision-making in macaques.

This study shows that inactivating face-selective neurons in the inferior temporal cortex alters eye movement patterns during free viewing of faces.

The paper demonstrates that left EBA activity causally supports efficient visual perception of social interactions through fMRI, behavioral, and TMS experiments.