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Ngày đăng: 05/08/2016

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The human brain has an incredible capacity to recognize and remember
faces. But how exactly does facial recognition work? Can You Trust Your
Memory? ►►►► http://bit.ly/1VRigce Sign Up For The TestTube Newsletter
Here ►►►► http://bit.ly/1myXbFG Read More: Precisely Targeted
Electrical Brain Stimulation Alters Perception of Faces, Scientists Find
"In a painless clinical procedure performed on a patient with
electrodes temporarily implanted in his brain, Stanford University
doctors pinpointed two nerve clusters that are critical for face
perception. The findings could have practical value in treating people
with prosopagnosia - the inability to distinguish one face from another
- as well in gaining an understanding of why some of us are so much
better than others at recognizing and remembering faces." The
Perception of a Face Is No More Than the Sum of Its Parts
https://www.ncbi.nlm.nih.gov/pubmed/22395131 "When you see a
person's face, how do you go about combining his or her facial features
to make a decision about who that person is? Most current theories of
face perception assert that the ability to recognize a human face is not
simply the result of an independent analysis of individual features, but
instead involves a holistic coding of the relationships among
features." Electrical Stimulation of Human Fusiform Face-Selective
Regions Distorts Face Perception
http://www.jneurosci.org/content/32/43/14915.full "Face-selective
neural responses in the human fusiform gyrus have been widely examined.
However, their causal role in human face perception is largely unknown.
Here, we used a multimodal approach of electrocorticography (ECoG),
high-resolution functional magnetic resonance imaging (fMRI), and
electrical brain stimulation (EBS) to directly investigate the causal
role of face-selective neural responses of the fusiform gyrus (FG) in
face perception in a patient implanted with subdural electrodes in the
right inferior temporal lobe." Understanding Face Recognition
https://www.ncbi.nlm.nih.gov/pubmed/3756376 "The aim of this paper
is to develop a theoretical model and a set of terms for understanding
and discussing how we recognize familiar faces, and the relationship
between recognition and other aspects of face processing. It is
suggested that there are seven distinct types of information that we
derive from seen faces; these are labelled pictorial, structural,
visually derived semantic, identity-specific semantic, name, expression
and facial speech codes. A functional model is proposed in which
structural encoding processes provide descriptions suitable for the
analysis of facial speech, for analysis of expression and for face
recognition units." ____________________ DNews is dedicated to
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