The right hemispheric lateralization of face recognition, which is well documented and
appears to be specific to the human species, remains a scientific mystery. According to a …

The understanding of the adult proficiency in recognizing and extracting information from
faces is still limited despite the number of studies over the last decade. Our knowledge on …

A key goal of computer vision researchers is to create automated face recognition systems
that can equal, and eventually surpass, human performance. To this end, it is imperative that …

Expertise in face processing takes many years to develop. To determine the contribution of
different face-processing skills to this slow development, we altered a single face so as to …

Emotion recognition was investigated in typically developing individuals and individuals with
autism. Experiment 1 tested children (5–7 years, n= 37) with brief video displays of facial …

Background: The amygdala plays a central role in the human response to affective or
emotionally charged stimuli, particularly fear-producing stimuli. We examined the specificity …

Although group convolutional networks are able to learn powerful representations based on
symmetry patterns, they lack explicit means to learn meaningful relationships among them …

It has been suggested that the locus of selective attention (early vs. late in processing) is
dependent on the perceptual load of the task. When perceptual load is low, irrelevant …

Capsule networks emerged as a promising alternative to convolutional neural networks for
learning object-centric representations. The idea is to explicitly model part-whole hierarchies …

Both behavioral and neuroimaging evidence indicate that individuals with autism
demonstrate marked abnormalities in the processing of faces. These abnormalities are often …