Face Recognition and Perception

Face-selective responses correlate with deep networks that learn from environment feedback

The paper introduces a reinforcement learning model for face perception that incorporates environmental feedback, showing it matches supervised and unsupervised models in capturing neural responses to faces.

Early face deprivation leads to long-lasting deficits in cortical face processing

This study shows that face-deprived monkeys develop face selectivity later but retain lasting effects of early deprivation on neural representations.

How Visual Experience Shapes Face Processing: Divergent Representational Strategies Emerge from Specialized and Diverse Visual Diets in Artificial Neural Networks

This study trains two ANNs on different visual diets to show how specialized vs. broad experience shapes face-processing capabilities and generalization.

Detection of idiosyncratic gaze fingerprint signatures in humans

This study identifies a unique gaze fingerprint in humans that can be reliably detected across different stimuli and timeframes, with associations to autistic traits.

The representation of facial emotion expands from sensory to prefrontal cortex with development

The study shows that facial emotion processing shifts from sensory areas to prefrontal cortex with age, using intracranial EEG data from children and adults.

Prior Scene Context Shapes the Neural Dynamics of Face Detection

The paper shows prior scene context influences neural dynamics during rapid face detection, with early facilitation and later compensatory processing when context is absent.

Flexible perception of face attributes under naturalistic visual constraints

This study investigates how the brain adapts face perception to naturalistic visual constraints by analyzing EEG responses to varying blur and exposure times.

Can category-selective cortex predict categorisation behaviour?

The paper shows that activation in category-selective regions of the occipito-temporal cortex predicts categorisation behaviour in face, body, and scene classification tasks.

Geometric structure of features underlies human VTC object recognition.

This study investigates how VTC features influence object manifold separability using ANN modeling, fMRI, and MEG, showing dynamic geometric adjustments in neural representations.

It matters who you are: Biography modulates the neural dynamics of facial identity representation

This study shows that person-related biographical knowledge modulates the timing and strength of face identity representations in the brain.

Serial Dependence operates on categorical rather than physical representations: evidence from behavior and EEG

The paper investigates whether serial dependence arises from physical or categorical representations using behavioral and EEG data on facial expressions.

Evidence for dimensional representations and anticipatory dynamics in facial expression perception

The paper decodes dynamic facial expressions from EEG data, revealing valence and arousal dimensions and anticipatory neural dynamics.

Context-dependent hierarchical categorization of human faces: Behavioral and EEG/MEG evidence

The paper investigates context-dependent hierarchical categorization of faces using behavioral and EEG/MEG data, revealing distinct neural mechanisms for species versus race-based categorization.

Sensory encoding of emotion conveyed by the face and visual context

The paper uses artificial neural networks to model fMRI data and shows that the pSTS encodes facial expressions more robustly than the amygdala, while both regions encode visual context.

Shared and individual tuning curves for social perception

The paper characterizes individual and group-level thresholds for social perception using parameterizable stimuli and finds unique, stable tuning curves linked to socio-affective traits.

Whole-Brain Convergence of Real-World Visual Expertise beyond Faces: Meta-Analytic Evidence for Core-Adaptive Neural Architecture

This paper identifies a right-lateralized neural core and adaptive left-hemisphere components involved in non-face visual expertise across domains using meta-analysis of fMRI studies.

Representation of emotional expressions across the face and voice brain networks

The paper investigates how emotional expressions are represented in brain networks for facial and vocal signals, finding shared neural codes and multisensory integration across regions.

Alignment of Artificial Neural Networks with Human Eye Movement Patterns in Facial Expression Recognition

This study compares how convolutional neural networks and Vision Transformers align with human eye movement patterns during facial expression recognition, finding that ViT better captures sequential fixation strategies.

Ensemble encoding of facial expressions is greater for static faces than dynamic faces

The paper investigates whether ensemble encoding of facial expressions differs between dynamic and static faces, finding that dynamic faces show reduced accuracy with larger ensembles.

Gyral crowns contribute to the cortical infrastructure of human face processing

The paper examines the relationship between gyral crown height and face-selective regions in the fusiform gyrus, finding reduced crown height correlates with impaired face recognition in developmental prosopagnosia and replicates this in a large neurotypical sample.

A developmentally inspired computational model of face recognition that learns continuously through generative memory replay

This paper introduces a developmentally inspired model for face recognition that learns continuously through generative memory replay, achieving performance comparable to batch-trained DCNNs.

Dynamic face-related eye movement representations in the human ventral pathway

The paper shows dynamic face-related eye movement representations in the ventral pathway during gaze tracking without image perception.

Functional specialization and dynamical interaction in human amygdala subregions support fearful-expression recognition

This study identifies distinct functional roles of human amygdala subregions in fearful-expression recognition through intracranial EEG and stimulation, revealing bidirectional interactions and a temporal hierarchy.

Feedforward representation of face information in the fusiform face area revealed by VASO 7T layer fMRI

This study uses VASO 7T layer fMRI and MVPA to show that face information is structured in the middle layer of the fusiform face area during face processing.

Central Vision Loss Alters Internal Emotion Representations: Evidence from a Genetic Algorithm Paradigm

This study investigates how central vision loss alters internal emotion representations using a genetic algorithm paradigm and three-dimensional face models, finding significant group differences in emotion expression.

The Origin of Cognitive Modules for Face Processing: A Computational Evolutionary Perspective

This paper introduces a computational model to study the emergence of cognitive modules, finding that a face-processing module arises due to structural constraints rather than task demands.

Trait motivation is associated with Fusiform face area Morphometry Evidence from a Chinese Youth Sample

The paper examines how trait motivation, specifically the behavioral inhibition system, relates to the structure and function of the face processing system in Chinese youth.

Social learning of emotion and its implication for memory: An ERP Study

This study investigates how social cues influence emotional salience and memory using ERP measurements, finding that social cues enhance memory for positive images but reduce encoding for negative ones based on subjective uncertainty.

Facial expressions in mice reveal latent cognitive variables and their neural correlates

The paper uses facial expressions in mice to identify latent cognitive variables and their neural correlates, showing that facial features reflect computations beyond task demands.

Mapping Macaque to Human Cortex with Natural Scene Responses

The paper maps functional correspondence between macaque and human cortex using natural scene responses, resolving ambiguities in cross-species alignment.