Individual faces elicit distinct response patterns in human anterior temporal cortex
N Kriegeskorte, E Formisano… - Proceedings of the …, 2007 - National Acad Sciences
Visual face identification requires distinguishing between thousands of faces we know. This
computational feat involves a network of brain regions including the fusiform face area (FFA) …
computational feat involves a network of brain regions including the fusiform face area (FFA) …
[HTML][HTML] The discriminability of local cues determines the strength of holistic face processing
V Goffaux - Vision Research, 2012 - Elsevier
Face perception is thought to result from the dynamic interplay between holistic and featural
modes of processing. What determines the engagement of each mode is currently unknown …
modes of processing. What determines the engagement of each mode is currently unknown …
High-resolution imaging reveals highly selective nonface clusters in the fusiform face area
A region in ventral human cortex (fusiform face area, FFA) thought to be important for face
perception responds strongly to faces and less strongly to nonface objects. This pattern of …
perception responds strongly to faces and less strongly to nonface objects. This pattern of …
Own-race and own-age biases facilitate visual awareness of faces under interocular suppression
The detection of a face in a visual scene is the first stage in the face processing hierarchy.
Although all subsequent, more elaborate face processing depends on the initial detection of …
Although all subsequent, more elaborate face processing depends on the initial detection of …
Perception and processing of faces in the human brain is tuned to typical feature locations
Faces are salient social stimuli whose features attract a stereotypical pattern of fixations. The
implications of this gaze behavior for perception and brain activity are largely unknown …
implications of this gaze behavior for perception and brain activity are largely unknown …
Face processing in humans is compatible with a simple shape–based model of vision
M Riesenhuber, I Jarudi, S Gilad… - Proceedings of the …, 2004 - royalsocietypublishing.org
Understanding how the human visual system recognizes objects is one of the key
challenges in neuroscience. Inspired by a large body of physiological evidence, a general …
challenges in neuroscience. Inspired by a large body of physiological evidence, a general …
The horizontal tuning of face perception relies on the processing of intermediate and high spatial frequencies
It was recently shown that expert face perception relies on the extraction of horizontally
oriented visual cues. Picture-plane inversion was found to eliminate horizontal, suggesting …
oriented visual cues. Picture-plane inversion was found to eliminate horizontal, suggesting …
The effect of face inversion on activity in human neural systems for face and object perception
The differential effect of stimulus inversion on face and object recognition suggests that
inverted faces are processed by mechanisms for the perception of other objects rather than …
inverted faces are processed by mechanisms for the perception of other objects rather than …
White-matter connectivity between face-responsive regions in the human brain
Face recognition is of major social importance and involves highly selective brain regions
thought to be organized in a distributed functional network. However, the exact architecture …
thought to be organized in a distributed functional network. However, the exact architecture …
Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks
The discovery that deep convolutional neural networks (DCNNs) achieve human
performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties …
performance in realistic tasks offers fresh opportunities for linking neuronal tuning properties …