Create Alert. Share This Paper. Figures, Tables, and Topics from this paper. Figures and Tables. References Publications referenced by this paper. The discrimination of speech sounds within and across phoneme boundaries. How brains beware: neural mechanisms of emotional attention Patrik Vuilleumier. Armony , Jon Driver , R. Neurobiologist Jenny Morton and her team have been able to teach sheep to choose a familiar face over unfamiliar one when presented with two photographs, which has led to the discovery that sheep can recognise human faces.
A great deal of effort has been put into developing software that can recognize human faces. Much of the work has been done by a branch of artificial intelligence known as computer vision which uses findings from the psychology of face perception to inform software design.
Recent breakthroughs using noninvasive functional transcranial Doppler spectroscopy as demonstrated by Njemanze, , to locate specific responses to facial stimuli have led to improved systems for facial recognition. The new system uses input responses called cortical long-term potentiation CLTP derived from Fourier analysis of mean blood flow velocity to trigger target face search from a computerized face database system.
Another application is the estimation of human age from face images. As an important hint for human communication, facial images contain lots of useful information including gender, expression, age, etc. Unfortunately, compared with other cognition problems, age estimation from facial images is still very challenging.
This is mainly because the aging process is influenced not only by a person's genes but also many external factors. Physical condition, living style etc. Besides, since the aging process is slow and with long duration, collecting sufficient data for training is fairly demanding work.
While it has been widely recognized that many cognitive abilities, such as general intelligence, have genetic bases, evidence for the genetic basis of facial recognition abilities specifically is fairly recent. Some of the earliest published research on the relationship between facial recognition and genetics focused on the genetic bases of facial recognition in the context of genetic disorders which impair facial recognition abilities, such as Turner syndrome.
In a study by Lawrence, K. This suggests that facial recognition abilities are not only heritable, but that their genetic basis is independent from the bases of other cognitive abilities and are specialized for face perception.
Mutation from the wild type allele at these loci has also been found to result in other disorders in which social and facial recognition deficits are common,  such as autism spectrum disorder , which may imply that the genetic bases for general facial recognition are complex and polygenic. From Wikipedia, the free encyclopedia. This article is about the cognitive process.
For the psychological phenomena of seeing faces in inanimate objects, see Pareidolia. For computer-based facial perception, see Facial recognition system. Main article: Cross-race effect. Apophenia , seeing meaningful patterns in random data Autism Capgras delusion Cognitive neuropsychology Cross-race effect Delusional misidentification syndrome Facial expression Facial recognition system Fregoli delusion Hollow-Face illusion Nonverbal learning disorder Pareidolia Prosopagnosia Social cognition Social intelligence.
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Retrieved 2 December When the correct matching stimulus was present participants consistently performed above chance level, regardless of facial stimuli type or stimuli order. When the correct matching stimulus was not present participants were either just guessing voice first or significantly below chance face first.
In Experiment 2 and 3 participants had to select the correct matching stimuli in a two-alternative forced choice task. The correct matching stimuli was always present in Experiment 2. It was never present in Experiment 3. Experiments 2 and 3 replicated the results of Experiment 1. Participants in Experiment 2 were more accurate when the correct matching stimulus was present in position 1.
Experiment 3 showed that a response bias was operating; participants selected stimulus 1 more often than stimulus 2. However, the bias did not wholly explain the overall above-chance accuracy levels in Experiment 2.