Face perception
Facial perception is an individual's understanding and interpretation of the face. Here, perception implies the presence of consciousness and hence excludes automated facial recognition systems. Although facial recognition is found in other species, this article focuses on facial perception in humans. The perception of facial features is an important part of social cognition. Information gathered from the face helps people understand each other's identity, what they are thinking and feeling, anticipate their actions, recognize their emotions, build connections, and communicate through body language. Developing facial recognition is a necessary building block for complex societal constructs. Being  able to perceive identity, mood, age, sex, and race lets people mold the way we interact with one another, and understand our immediate surroundings. Though facial perception is mainly considered to stem from visual intake, studies have shown that even people born blind can learn face perception without vision. Studies have supported the notion of a specialized mechanism for perceiving faces. Overview. Theories about the processes involved in adult face perception have largely come from two sources; research on normal adult face perception and the study of impairments in face perception that are caused by brain injury or neurological illness . Bruce & Young model. One of the most widely accepted theories of face perception argues that understanding faces involves several stages: from basic perceptual manipulations on the sensory information to derive details about the person (such as age, gender or attractiveness), to being able to recall meaningful details such as their name and any relevant past experiences of the individual. This model, developed by Vicki Bruce and Andrew Young in 1986, argues that face perception involves independent sub-processes working in unison. Traumatic brain injury and neurological illness. Following brain damage, faces can appear severely distorted. A wide variety of distortions  can occur – features can droop, enlarge, become discolored, or the entire face can appear to shift relative to the head. This condition is known as prosopometamorphopsia (PMO). In half of the reported cases, distortions are restricted to either the left or the right side of the face, and this form of PMO is called hemi-prosopometamorphopsia (hemi-PMO). Hemi-PMO often results from lesions to the splenium, which connects the right and left hemisphere. In the other half of reported cases, features on both sides of the face appear distorted. Perceiving facial expressions can involve many areas of the brain , and damaging certain parts of the brain can cause specific impairments in one's ability to perceive a face. As stated earlier, research on the impairments caused by brain injury or neurological illness has helped develop our understanding of cognitive processes. The study of prosopagnosia (an impairment in recognizing faces that is usually caused by brain injury) has been particularly helpful in understanding how normal face perception might work. Individuals with prosopagnosia may differ in their abilities to understand faces, and it has been the investigation of these differences which has suggested that several stage theories might be correct. Brain  imaging studies typically show a great deal of activity in an area of the temporal lobe known as the fusiform gyrus, an area also known to cause prosopagnosia when damaged (particularly when damage occurs on both sides). This evidence has led to a particular interest in this area and it is sometimes referred to as the "fusiform face area" (FFA) for that reason. It is important to note that while certain areas of the brain respond selectively to faces, facial processing involves many neural networks which include visual and emotional processing systems. For example, Prosopagnosia patients demonstrate neuropsychological support for  a specialized face perception mechanism as these people (due to brain damage) have deficits in facial perception, but their cognitive perception of objects remains intact. The face inversion effect provides behavioral support of a specialized mechanism as people tend to have greater deficits in task performance when prompted to react to an inverted face than to an inverted object. Electrophysiological support comes from the finding that the N170 and M170 responses tend to be face-specific. Neuro-imaging studies such as PET and fMRI studies have shown support for a specialized facial processing mechanism as they have identified regions of  the fusiform gyrus that have higher activation during face perception tasks than other visual perception tasks. Theories about the processes involved in adult face perception have largely come from two sources: research on normal adult face perception and the study of impairments in face perception that are caused by brain injury or neurological illness. Novel optical illusions such as the Flashed Face Distortion Effect, in which scientific phenomenology outpaces neurological theory, also provide areas for research. Difficulties in facial emotion processing can also be seen in individuals with traumatic brain injury, in both diffuse axonal injury and focal brain injury . Early development. Despite numerous studies, there is no widely accepted time-frame in which the average human develops the ability to perceive faces. Ability to discern faces from other objects. Many studies have found that infants will give preferential attention to faces in their visual field, indicating they can discern faces from other objects. Ability to detect emotion in the face. At around seven months of age, infants show the ability to discern faces by emotion. However, whether they have fully developed emotion recognition is unclear. Discerning visual differences in facial expressions is different to understanding the valence of a  particular emotion. Ability to recognize familiar faces. It is unclear when humans develop the ability to recognize familiar faces. Studies have varying results, and may depend on multiple factors (such as continued exposure to particular faces during a certain time period). Ability to 'mimic' faces. A commonly disputed topic is the age at which we can mimic facial expressions. Neuroanatomy. Key areas of the brain. Facial perception has neuroanatomical correlates in the brain. The fusiform face area (BA37— Brodmann area 37) is located in the lateral fusiform gyrus. It is thought that this area is involved in holistic processing of  faces and it is sensitive to the presence of facial parts as well as the configuration of these parts. The fusiform face area is also necessary for successful face detection and identification. This is supported by fMRI activation and studies on prosopagnosia, which involves lesions in the fusiform face area. The occipital face area is located in the inferior occipital gyrus. Similar to the fusiform face area, this area is also active during successful face detection and identification, a finding that is supported by fMRI and MEG activation. The occipital face area is involved and necessary in the analysis of  facial parts but not in the spacing or configuration of facial parts. This suggests that the occipital face area may be involved in a facial processing step that occurs prior to fusiform face area processing. The superior temporal sulcus is involved in recognition of facial parts and is not sensitive to the configuration of these parts. It is also thought that this area is involved in gaze perception. The superior temporal sulcus has demonstrated increased activation when attending to gaze direction. During face perception, major activations occur in the extrastriate areas bilaterally, particularly in the above three areas. Perceiving an  inverted human face involves increased activity in the inferior temporal cortex, while perceiving a misaligned face involves increased activity in the occipital cortex. No results were found when perceiving a dog face, suggesting a process specific to human faces. Bilateral activation is generally shown in all of these specialized facial areas. However, some studies show increased activation in one side over the other: for instance, the right fusiform gyrus is more important for facial processing in complex situations. BOLD fMRI mapping and the fusiform face area. The majority of fMRI studies use blood oxygen level dependent (BOLD) contrast to determine  which areas of the brain are activated by various cognitive functions. One study used BOLD fMRI mapping to identify activation in the brain when subjects viewed both cars and faces. They found that the occipital face area, the fusiform face area, the superior temporal sulcus, the amygdala, and the anterior/inferior cortex of the temporal lobe all played roles in contrasting faces from cars, with initial face perception beginning in the fusiform face area and occipital face areas. This entire region forms a network that acts to distinguish faces. The processing of faces in the brain is known as a  sum of parts perception. However, the individual parts of the face must be processed first in order to put all of the pieces together. In early processing, the occipital face area contributes to face perception by recognizing the eyes, nose, and mouth as individual pieces. Researchers also used BOLD fMRI mapping to determine the patterns of activation in the brain when parts of the face were presented in combination and when they were presented singly. The occipital face area is activated by the visual perception of single features of the face, for example, the nose and mouth, and preferred combination  of two-eyes over other combinations. This suggests that the occipital face area recognizes the parts of the face at the early stages of recognition. On the contrary, the fusiform face area shows no preference for single features, because the fusiform face area is responsible for "holistic/configural" information, meaning that it puts all of the processed pieces of the face together in later processing. This is supported by a study which found that regardless of the orientation of a face, subjects were impacted by the configuration of the individual facial features. Subjects were also impacted by the coding of  the relationships between those features. This shows that processing is done by a summation of the parts in later stages of recognition. The fusiform gyrus and the amygdala. The fusiform gyri are preferentially responsive to faces, whereas the parahippocampal/lingual gyri are responsive to buildings. While certain areas respond selectively to faces, facial processing involves many neural networks, including visual and emotional processing systems. While looking at faces displaying emotions (especially those with fear facial expressions) compared to neutral faces there is increased activity in the right fusiform gyrus. This increased activity also correlates with increased amygdala activity in the  same situations. The emotional processing effects observed in the fusiform gyrus are decreased in patients with amygdala lesions. This demonstrates connections between the amygdala and facial processing areas. Face familiarity also affects the fusiform gyrus and amygdala activation. Multiple regions activated by similar face components indicates that facial processing is a complex process. Increased brain activation in precuneus and cuneus often occurs when differentiation of two faces are easy (kin and familiar non-kin faces) and the role of posterior medial substrates for visual processing of faces with familiar features (faces averaged with that of a sibling). The object form  topology hypothesis posits a topological organization of neural substrates for object and facial processing. However, there is disagreement: the category-specific and process-map models could accommodate most other proposed models for the neural underpinnings of facial processing. Most neuroanatomical substrates for facial processing are perfused by the middle cerebral artery. Therefore, facial processing has been studied using measurements of mean cerebral blood flow velocity in the middle cerebral arteries bilaterally. During facial recognition tasks, greater changes occur in the right middle cerebral artery than the left. Men are right-lateralized and women left-lateralized during facial processing tasks. Just  as memory and cognitive function separate the abilities of children and adults to recognize faces, the familiarity of a face may also play a role in the perception of faces. Recording event-related potentials in the brain to determine the timing of facial recognition showed that familiar faces are indicated by a stronger N250, a specific wavelength response that plays a role in the visual memory of faces. Similarly, all faces elicit the N170 response in the brain. The brain conceptually needs only ~50 neurons to encode any human face, with facial features projected on individual axes (neurons) in a  50-dimensional "Face Space". Cognitive neuroscience. Cognitive neuroscientists Isabel Gauthier and Michael Tarr are two of the major proponents of the view that face recognition involves expert discrimination of similar objects (See the Perceptual Expertise Network). Other scientists, in particular Nancy Kanwisher and her colleagues, argue that face recognition involves processes that are face-specific and that are not recruited by expert discriminations in other object classes (see the domain specificity). Studies by Gauthier have shown that an area of the brain known as the fusiform gyrus (sometimes called the fusiform face area because it is active during face recognition ) is also active when study participants are asked to discriminate between different types of birds and cars, and even when participants become expert at distinguishing computer generated nonsense shapes known as greebles. This suggests that the fusiform gyrus have a general role in the recognition of similar visual objects. The activity found by Gauthier when participants viewed non-face objects was not as strong as when participants were viewing faces, however this could be because we have much more expertise for faces than for most other objects. Furthermore, not all findings of this research have been successfully replicated, for example , other research groups using different study designs have found that the fusiform gyrus is specific to faces and other nearby regions deal with non-face objects. However, these findings are difficult to interpret: failures to replicate are null effects and can occur for many different reasons. In contrast, each replication adds a great deal of weight to a particular argument. There are now multiple replications with greebles, with birds and cars, and two unpublished studies with chess experts. Although expertise sometimes recruits the fusiform face area, a more common finding is that expertise leads to focal category-selectivity in the  fusiform gyrus—a pattern similar in terms of antecedent factors and neural specificity to that seen for faces. As such, it remains an open question as to whether face recognition and expert-level object recognition recruit similar neural mechanisms across different subregions of the fusiform or whether the two domains literally share the same neural substrates. At least one study argues that the issue is nonsensical, as multiple measurements of the fusiform face area within an individual often overlap no more with each other than measurements of fusiform face area and expertise-predicated regions. fMRI studies have asked whether expertise  has any specific connection to the fusiform face area in particular, by testing for expertise effects in both the fusiform face area and a nearby but not face-selective region called LOC (Rhodes et al., JOCN 2004; Op de Beeck et al., JN 2006; Moore et al., JN 2006; Yue et al. VR 2006). In all studies, expertise effects are significantly stronger in the LOC than in the fusiform face area, and indeed expertise effects were only borderline significant in the fusiform face area in two of the studies, while the effects were robust and significant in the LOC in  all studies. Therefore, it is still not clear in exactly which situations the fusiform gyrus becomes active, although it is certain that face recognition relies heavily on this area and damage to it can lead to severe face recognition impairment. Face advantage in memory recall. During face perception, neural networks make connections with the brain to recall memories. According to the Seminal Model of face perception, there are three stages of face processing: There are exceptions to this order. For example, names are recalled faster than semantic information in cases of highly familiar stimuli. While the face is a powerful  identifier, the voice also helps in recognition. Research has tested if faces or voices make it easier to identify individuals and recall semantic memory and episodic memory. These experiments looked at all three stages of face processing. The experiment showed two groups of celebrity and familiar faces or voices with a between-group design and asked the participants to recall information about them. The participants were first asked if the stimulus was familiar. If they answered yes then they were asked for information (semantic memory) and memories (episodic memory) that fit the face or voice presented. These experiments demonstrated the  phenomenon of face advantage and how it persists through follow-up studies. Recognition-performance issue. After the first experiments on the advantage of faces over voices in memory recall, errors and gaps were found in the methods used. For one, there was not a clear face advantage for the recognition stage of face processing. Participants showed a familiarity-only response to voices more often than faces. In other words, when voices were recognized (about 60-70% of the time) they were much harder to recall biographical information but very good at being recognized. The results were looked at as remember  versus know judgements. A lot more remember results (or familiarity) occurred with voices, and more know (or memory recall) responses happened with faces. This phenomenon persists through experiments dealing with criminal line-ups in prisons. Witnesses are more likely to say that a suspect's voice sounded familiar than his/her face even though they cannot remember anything about the suspect. This discrepancy is due to a larger amount of guesswork and false alarms that occur with voices. To give faces a similar ambiguity to that of voices, the face stimuli were blurred in the follow-up experiment. This  experiment followed the same procedures as the first, presenting two groups with sets of stimuli made up of half celebrity faces and half unfamiliar faces. The only difference was that the face stimuli were blurred so that detailed features could not be seen. Participants were then asked to say if they recognized the person, if they could recall specific biographical information about them, and finally if they knew the person's name. The results were completely different from those of the original experiment, supporting the view that there were problems in the first experiment's methods. According to the results  of the followup, the same amount of information and memory could be recalled through voices and faces, dismantling the face advantage. However, these results are flawed and premature because other methodological issues in the experiment still needed to be fixed. Content of speech. The process of controlling the content of speech extract has proven to be more difficult than the elimination of non facial cues in photographs. Thus the findings of experiments that did not control this factor lead to misleading conclusions regarding the voice recognition over the face recognition. For example, in an experiment it was found that 40 % of the time participants could easily pair the celebrity-voice with their occupation just by guessing. In order to eliminate these errors, experimenters removed parts of the voice samples that could possibly give clues to the identity of the target, such as catchphrases. Even after controlling the voice samples as well as the face samples (using blurred faces), studies have shown that semantic information can be more accessible to retrieve when individuals are recognizing faces than voices. Another technique to control the content of the speech extracts is to present the faces and voices of personally familiar individuals, like the  participant's teachers or neighbors, instead of the faces and voices of celebrities. In this way alike words are used for the speech extracts. For example, the familiar targets are asked to read exactly the same scripted speech for their voice extracts. The results showed again that semantic information is easier to retrieve when individuals are recognizing faces than voices. Frequency-of-exposure issue. Another factor that has to be controlled in order for the results to be reliable is the frequency of exposure. If we take the example of celebrities, people are exposed to celebrities' faces more often than  their voices because of the mass media. Through magazines, newspapers and the Internet, individuals are exposed to celebrities' faces without their voices on an everyday basis rather than their voices without their faces. Thus, someone could argue that for all of the experiments that were done until now the findings were a result of the frequency of exposure to the faces of celebrities rather than their voices. To overcome this problem researchers decided to use personally familiar individuals as stimuli instead of celebrities. Personally familiar individuals, such as participant's teachers, are for the most part heard as well as  seen. Studies that used this type of control also demonstrated the face advantage. Students were able to retrieve semantic information more readily when recognizing their teachers faces (both normal and blurred) rather than their voices. However, researchers over the years have found an even more effective way to control not only the frequency of exposure but also the content of the speech extracts, the associative learning paradigm. Participants are asked to link semantic information as well as names with pre-experimentally unknown voices and faces. In a current experiment that used this paradigm, a name and a profession were given  together with, accordingly, a voice, a face or both to three participant groups. The associations described above were repeated four times. The next step was a cued recall task in which every stimulus that was learned in the previous phase was introduced and participants were asked to tell the profession and the name for every stimulus. Again, the results showed that semantic information can be more accessible to retrieve when individuals are recognizing faces than voices even when the frequency of exposure was controlled. Extension to episodic memory and explanation for existence. Episodic memory is our ability to remember specific , previously experienced events. In recognition of faces as it pertains to episodic memory, there has been shown to be activation in the left lateral prefrontal cortex, parietal lobe, and the left medial frontal/anterior cingulate cortex. It was also found that a left lateralization during episodic memory retrieval in the parietal cortex correlated strongly with success in retrieval. This may possibly be due to the hypothesis that the link between face recognition and episodic memory were stronger than those of voice and episodic memory. This hypothesis can also be supported by the existence of specialized face recognition devices thought to  be located in the temporal lobes. There is also evidence of the existence of two separate neural systems for face recognition: one for familiar faces and another for newly learned faces. One explanation for this link between face recognition and episodic memory is that since face recognition is a major part of human existence, the brain creates a link between the two in order to be better able to communicate with others. Self-face perception. Though many animals have face-perception capabilities, the recognition of self-face is phenomenon has been observed to be unique to only a few species . There is a particular interest in the study of self-face perception because of its relation to the perceptual integration process. One study found that the perception/recognition of one's own face was unaffected by changing contexts, while the perception/recognition of familiar and unfamiliar faces was adversely affected. Another study that focused on older adults found that they had self-face advantage in configural processing but not featural processing. In 2014, Motoaki Sugiura developed a conceptual model for self-recognition by breaking it into three categories: the physical, interpersonal, and social selves. Mirror test. Gordon Gallup Jr. developed  a technique in 1970 as an attempt to measure self-awareness. This technique is commonly referred to has the mirror test. The method involves placing a marker on the subject in a place they can not see without a mirror (e.g. ones forehead). The marker must be placed inconspicuously enough that the subject does not become aware that they have been marked. Once the marker is placed, the subject is given access to a mirror. If the subject investigates the mark "(e.g. tries to wipe the mark off)", this would indicate that the subject understands they are looking at a  reflection of themselves, as opposed to perceiving the mirror as an extension of their environment. (e.g., thinking the reflection is another person/animal behind a window) Though this method is regarded as one of the more effective techniques when it comes to measuring self-awareness, it certainly not perfect. There are many factors at play that could have an effect on the outcome. For example, if an animal is biologically blind, like a mole, we can not assume that they inherently lack self awareness. It can only be assumed that visual self-recognition, is possibly one of many ways for  a living being to be considered as cognitively "self aware." Gender. Studies using electro-physiological techniques have demonstrated gender-related differences during a face recognition memory task and a facial affect identification task. In facial perception there was no association to estimated intelligence, suggesting that face recognition in women is unrelated to several basic cognitive processes. Gendered differences may suggest a role for sex hormones. In females there may be variability for psychological functions related to differences in hormonal levels during different phases of the menstrual cycle. Data obtained in norm and in pathology support asymmetric face processing. The left  inferior frontal cortex and the bilateral occipitotemporal junction may respond equally to all face conditions. Some contend that both the left inferior frontal cortex and the occipitotemporal junction are implicated in facial memory. The right inferior temporal/fusiform gyrus responds selectively to faces but not to non-faces. The right temporal pole is activated during the discrimination of familiar faces and scenes from unfamiliar ones. Right asymmetry in the mid-temporal lobe for faces has also been shown using 133-Xenon measured cerebral blood flow. Other investigators have observed right lateralization for facial recognition in previous electrophysiological and imaging studies . Asymmetric facial perception implies implementing different hemispheric strategies. The right hemisphere would employ a holistic strategy, and the left an analytic strategy. A 2007 study, using functional transcranial Doppler spectroscopy, demonstrated that men were right-lateralized for object and facial perception, while women were left-lateralized for facial tasks but showed a right-tendency or no lateralization for object perception. This could be taken as evidence for topological organization of these cortical areas in men. It may suggest that the latter extends from the area implicated in object perception to a much greater area involved in facial perception. This agrees  with the object form topology hypothesis proposed by Ishai. However, the relatedness of object and facial perception was process-based, and appears to be associated with their common holistic processing strategy in the right hemisphere. Moreover, when the same men were presented with facial paradigm requiring analytic processing, the left hemisphere was activated. This agrees with the suggestion made by Gauthier in 2000, that the extrastriate cortex contains areas that are best suited for different computations, and described as the process-map model. Therefore, the proposed models are not mutually exclusive: facial processing imposes no new constraints on the brain  besides those used for other stimuli. Each stimulus may have been mapped by category into face or non-face, and by process into holistic or analytic. Therefore, a unified category-specific process-mapping system was implemented for either right or left cognitive styles. For facial perception, men likely use a category-specific process-mapping system for right cognitive style, and women use the same for the left. Ethnicity. Differences in own- versus other-race face recognition and perceptual discrimination was first researched in 1914. Humans tend to perceive people of other races than their own to all look alike:Other  things being equal, individuals of a given race are distinguishable from each other in proportion to our familiarity, to our contact with the race as whole. Thus, to the uninitiated American all Asiatics look alike, while to the Asiatics, all White men look alike. This phenomenon, known as the cross-race effect, is also called the "own-race effect", "other-race effect", "own race bias", or "interracial face-recognition deficit". It is difficult to measure the true influence of the cross-race effect. A 1990 study found that other-race effect is larger among White subjects than among African-American  subjects, whereas a 1979 study found the opposite. D. Stephen Lindsay and colleagues note that results in these studies could be due to intrinsic difficulty in recognizing the faces presented, an actual difference in the size of cross-race effect between the two test groups, or some combination of these two factors. Shepherd reviewed studies that found better performance on African-American faces, White faces, and studies where no difference was found. Overall, Shepherd reported a reliable positive correlation between the size of the effect and the amount of interaction subjects had with members of the other race. This correlation  reflects the fact that African-American subjects, who performed equally well on faces of both races in Shepherd's study, almost always responded with the highest possible self-rating of amount of interaction with white people, whereas white counterparts displayed a larger other-race effect and reported less other-race interaction. This difference in rating was statistically reliable. The cross-race effect seems to appear in humans at around six months of age. Challenging the cross-race effect. Cross-race effects can be changed through interaction with people of other races. Other-race experience is a major influence on the  cross-race effect. A series of studies revealed that participants with greater other-race experience were consistently more accurate at discriminating other-race faces than participants with less experience. Many current models of the effect assume that holistic face processing mechanisms are more fully engaged when viewing own-race faces. The own-race effect appears related to increased ability to extract information about the spatial relationships between different facial features. A deficit occurs when viewing people of another race because visual information specifying race takes up mental attention at the expense of individuating information. Further research using perceptual tasks could  shed light on the specific cognitive processes involved in the other-race effect. The own-race effect likely extends beyond racial membership into in-group favoritism. Categorizing somebody by the university they attend yields similar results to the own-race effect. Similarly, men tend to recognize fewer female faces than women do, whereas there are no sex differences for male faces. If made aware of the own-race effect prior to the experiment, test subjects show significantly less, if any, of the own-race effect. Autism. Autism spectrum disorder is a comprehensive neural developmental disorder that produces social, communicative, and  perceptual deficits. Individuals with autism exhibit difficulties with facial identity recognition and recognizing emotional expressions. These deficits are suspected to spring from abnormalities in early and late stages of facial processing. Speed and methods. People with autism process face and non-face stimuli with the same speed. In neurotypical individuals, a preference for face processing results in a faster processing speed in comparison to non-face stimuli. These individuals use holistic processing when perceiving faces. In contrast, individuals with autism employ part-based processing or bottom-up processing, focusing on individual features rather than the face as a whole. People  with autism direct their gaze primarily to the lower half of the face, specifically the mouth, varying from the eye-trained gaze of neurotypical people. This deviation does not employ the use of facial prototypes, which are templates stored in memory that make for easy retrieval. Additionally, individuals with autism display difficulty with recognition memory, specifically memory that aids in identifying faces. The memory deficit is selective for faces and does not extend to other visual input. These face-memory deficits are possibly products of interference between face-processing regions. Associated difficulties. Autism often manifests in weakened social ability, due  to decreased eye contact, joint attention, interpretation of emotional expression, and communicative skills. These deficiencies can be seen in infants as young as 9 months. Some experts use 'face avoidance' to describe how infants who are later diagnosed with autism preferentially attend to non-face objects. Furthermore, some have proposed that children with autism's difficulty in grasping the emotional content of faces is the result of a general inattentiveness to facial expression, and not an incapacity to process emotional information in general. The constraints are viewed to cause impaired social engagement. Furthermore, research suggests a link between decreased face  processing abilities in individuals with autism and later deficits in theory of mind. While typically developing individuals are able to relate others' emotional expressions to their actions, individuals with autism do not demonstrate this skill to the same extent. This causation, however, resembles the chicken or the egg dispute. Some theorize that social impairment leads to perceptual problems. In this perspective, a biological lack of social interest inhibits facial recognition due to under-use. Neurology. Many of the obstacles that individuals with autism face in terms of facial processing may be derived from abnormalities in the fusiform face area and  amygdala. Typically, the fusiform face area in individuals with autism has reduced volume. This volume reduction has been attributed to deviant amygdala activity that does not flag faces as emotionally salient, and thus decreases activation levels. Studies are not conclusive as to which brain areas people with autism use instead. One found that, when looking at faces, people with autism exhibit activity in brain regions normally active when neurotypical individuals perceive objects. Another found that during facial perception, people with autism use different neural systems, each using their own unique neural circuitry. Compensation mechanisms. As autistic individuals age, scores on  behavioral tests assessing ability to perform face-emotion recognition increase to levels similar to controls. The recognition mechanisms of these individuals are still atypical, though often effective. In terms of face identity-recognition, compensation can include a more pattern-based strategy, first seen in face inversion tasks. Alternatively, older individuals compensate by using mimicry of other's facial expressions and rely on their motor feedback of facial muscles for face emotion-recognition. Schizophrenia. Schizophrenia is known to affect attention, perception, memory, learning, processing, reasoning, and problem solving. Schizophrenia has been linked to impaired face and emotion perception. People with schizophrenia  demonstrate worse accuracy and slower response time in face perception tasks in which they are asked to match faces, remember faces, and recognize which emotions are present in a face. People with schizophrenia have more difficulty matching upright faces than they do with inverted faces. A reduction in configural processing, using the distance between features of an item for recognition or identification (e.g. features on a face such as eyes or nose), has also been linked to schizophrenia. Schizophrenia patients are able to easily identify a "happy" affect but struggle to identify faces as "sad" or "fearful". Impairments in face  and emotion perception are linked to impairments in social skills, due to the individual's inability to distinguish facial emotions. People with schizophrenia tend to demonstrate a reduced N170 response, atypical face scanning patterns, and a configural processing dysfunction. The severity of schizophrenia symptoms has been found to correlate with the severity of impairment in face perception. Individuals with diagnosed schizophrenia and antisocial personality disorder have been found to have even more impairment in face and emotion perception than individuals with just schizophrenia. These individuals struggle to identify anger, surprise, and disgust. There is a link between aggression and emotion  perception difficulties for people with this dual diagnosis. Data from magnetic resonance imaging and functional magnetic resonance imaging has shown that a smaller volume of the fusiform gyrus is linked to greater impairments in face perception. There is a positive correlation between self-face recognition and other-face recognition difficulties in individuals with schizophrenia. The degree of schizotypy has also been shown to correlate with self-face difficulties, unusual perception difficulties, and other face recognition difficulties. Schizophrenia patients report more feelings of strangeness when looking in a mirror than do normal controls. Hallucinations, somatic concerns, and depression have all been  found to be associated with self-face perception difficulties. Other animals. 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 recognize human faces. Archerfish (distant relatives of humans) were able to differentiate between forty-four different human faces, which supports the theory that there is no need for a neocortex or a history of discerning human faces in order to do so. Pigeons were found to use the same parts of the brain as humans  do to distinguish between happy and neutral faces or male and female faces. Artificial intelligence. Much effort has gone into developing software that can recognize human faces. This work has occurred in a branch of artificial intelligence known as computer vision, which uses the psychology of face perception to inform software design. Recent breakthroughs use noninvasive functional transcranial Doppler spectroscopy to locate specific responses to facial stimuli. The new system uses input responses, called "cortical long-term potentiation", to trigger target face search from a computerized face database system. Such a system provides for brain-machine interface for facial recognition , referred to as "cognitive biometrics". Another application is estimating age from images of faces. Compared with other cognition problems, age estimation from facial images is challenging, mainly because the aging process is influenced by many external factors like physical condition and living style.The aging process is also slow, making sufficient data difficult to collect. Nemrodov. In 2016, Dan Nemrodov conducted multivariate analyses of EEG signals that might be involved in identity related information and applied pattern classification to event-related potential signals both in time and in space. The main target of the study were: For the experiment, conventional  event-related potential analyses and pattern classification of event-related potential signals were conducted given preprocessed EEG signals. This and a further study showed the existence of a spatio-temporal profile of individual face recognition process and reconstruction of individual face images was possible by utilizing such profile and informative features that contribute to encoding of identity related information. Genetic basis. While many cognitive abilities, such as general intelligence, have a clear genetic basis, evidence for the genetic basis of facial recognition is fairly recent. Current evidence suggests that facial recognition abilities are highly linked to genetic, rather than environmental , bases. Early research focused on genetic disorders which impair facial recognition abilities, such as Turner syndrome, which results in impaired amygdala functioning. A 2003 study found significantly poorer facial recognition abilities in individuals with Turner syndrome, suggesting that the amygdala impacts face perception. Evidence for a genetic basis in the general population, however, comes from twin studies in which the facial recognition scores on the Cambridge Face Memory test were twice as similar for monozygotic twins in comparison to dizygotic twins. This finding was supported by studies which found a similar difference in facial recognition scores and those which determined  the heritability of facial recognition to be approximately 61%. There was no significant relationship between facial recognition scores and other cognitive abilities, most notably general object recognition. This suggests that facial recognition abilities are heritable, and have a genetic basis independent from other cognitive abilities. Research suggests that more extreme examples of facial recognition abilities, specifically hereditary prosopagnosics, are highly genetically correlated. For hereditary prosopagnosics, an autosomal dominant model of inheritance has been proposed. Research also correlated the probability of hereditary prosopagnosia with the single nucleotide polymorphisms along the Oxytocin receptor gene (OXTR), suggesting that these alleles serve a critical  role in normal 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. This relationship between OXTR and facial recognition is also supported by studies of individuals who do not have hereditary prosopagnosia.