Using the “face inversion effect”, a hallmark of face perception, we examined network
mechanisms supporting face representation by tracking functional magnetic resonance …

The distributed model of face processing proposes an anatomical dissociation between
brain regions that encode invariant aspects of faces, such as identity, and those that encode …

Studies examining the neural correlates of face perception and recognition in humans have
revealed multiple brain regions that appear to play a specialized role in face processing …

Recent advances in the study of human brain networks suggest that efficient cognitive
operations depend on dynamic changes in large-scale connectivity. In this study we used …

Face perception elicits activation within a distributed cortical network in the human brain.
The network includes visual (“core”) regions, as well as limbic and prefrontal (“extended”) …

There is increasing appreciation that network‐level interactions among regions produce
components of face processing previously ascribed to individual regions. Our goals were to …

Perceiving human faces constitutes a fundamental ability of the human mind, integrating a
wealth of information essential for social interactions in everyday life. Neuroimaging studies …

The face inversion effect has been used as a basis for claims about the specialization of face-
related perceptual and neural processes. One of these claims is that the fusiform face area …

Face processing in the human brain recruits a widespread cortical network based mainly in
the ventral and lateral temporal and occipital lobes. However, the extent to which activity …

Humans' ability to recognize objects is remarkably robust across a variety of views unless
faces are presented upside-down. Whether this face inversion effect (FIE) results from …