Face Recognition and Perception

Category-Selective Human Brain Processes Elicited In Fast Periodic Visual Stimulation Streams Are Immune To Temporal Predictability

The paper tests if category-selective neural processes in the human brain are affected by temporal predictability in fast visual streams, finding they are not.

Rapid responses of amygdala neurons discriminate facial expressions

The paper identifies rapid, emotion-selective responses in monkey amygdala neurons to facial expressions within 50 ms, suggesting a subcortical pathway's role in threat detection.

Information theoretic evidence for predictive coding in the face processing system

The paper uses information theory to show that prior knowledge about faces is represented in low-frequency brain activity during face detection tasks.

Adjudicating between face-coding models with individual-face fMRI responses

The paper compares computational models of face recognition using fMRI data and finds that a face-space coding model with sigmoidal ramp tuning performs better than an image-processing model.

A mixture of sparse coding models explaining properties of face neurons related to holistic and parts-based processing

The paper proposes a mixture of sparse coding models to explain how face neurons in the primate visual system process holistic and parts-based information.

Memory And Perception-based Facial Image Reconstruction

This study reconstructs face images from perceptual and memory-based data to explore shared representational bases in facial identity recognition.

The Non-Linear Development Of The Right Hemispheric Specialization For Human Face Perception

The paper investigates how right hemispheric specialization for face perception develops in preschoolers, finding a small correlation between letter knowledge and right hemisphere specialization.

Familiarity Facilitates Feature-based Face Processing

This study investigates whether feature-based face processing facilitates detection of familiar faces, finding that familiarity aids both target detection and distractor rejection, even when faces are inverted.

Efficient Information Contents Flow Down from Memory to Predict the Identity of Faces

The paper identifies the content of predictions from memory that aid in face recognition by analyzing 3D facial features and their efficiency in distinguishing identities.