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George A. Drew

George Alexander Drew (May 7, 1894 – January 4, 1973) was a Canadian politician. He served as the 14th premier of Ontario from 1943 to 1948 and founded a Progressive Conservative dynasty that would last 42 years. He later served as leader of the federal Progressive Conservative Party and Leader of the Official Opposition from 1948 to 1956.

Early life
Drew was born in Guelph, Ontario, the son of Annie Isabelle Stevenson (Gibbs) and John Jacob Drew. He was educated at Upper Canada College and graduated from the University of Toronto, where he was a member of the Delta Kappa Epsilon fraternity (Alpha Phi chapter). He then studied law at Osgoode Hall Law School. He served with distinction in World War I as an officer in the Canadian Field Artillery. After the war, he became lieutenant-colonel of the 11th Field Brigade and later honorary colonel of the 11th Field Regiment, Royal Canadian Artillery. He was the author of a book about Canadian aviators in World War I, "Canada's Fighting Airmen."

He was called to the bar in 1920. He married Fiorenza Johnson (1910–1965), daughter of Edward Johnson, who was a noted opera singer (tenor) and later general manager (1935–1950) of the Metropolitan Opera House, in New York City. Drew remarried in 1966 to Phyllis McCullagh, the widow of George McCullagh, the former publisher of Toronto's The Globe and Mail and The Toronto Telegram newspapers.

Entry to politics
Drew was elected mayor of the City of Guelph in 1925 after he had served as an alderman. In 1929, he left to become assistant master and then master of the Supreme Court of Ontario. As a practising lawyer, he was in 1931 appointed as the first chairman of the Ontario Securities Commission by the provincial Conservative government and was fired by the Liberal government of the colourful Mitch Hepburn, who had come power as a result of the 1934 provincial election. Drew ran for the leadership of the nearly-moribund Conservative Party of Ontario at the 1936 Conservative leadership convention. He lost to William Earl Rowe, who appointed Drew to the position of provincial organizer for the party.

Drew broke with the Conservatives, however, when they opposed Hepburn's attempt to crush the Congress of Industrial Organizations attempt to unionize General Motors in Oshawa. Drew ran as an Independent Conservative in Wellington South during the 1937 provincial election but was defeated, along with the Conservatives. Rowe failed to win a seat in the legislature and consequently resigned as party leader. Drew ran again for the Conservative leadership in 1938, this time successfully, and entered the Legislative Assembly of Ontario at a 1939 by-election as the Member of Provincial Parliament for Simcoe East. In the 1943 provincial election, he was elected in the Toronto riding of High Park.

The Liberal government went through a series of crises during World War II because of Hepburn's feud with Canadian Prime Minister William Lyon Mackenzie King and his Liberal Party of Canada. The crises led to Hepburn's resignation.

Premier of Ontario
In the 1943 provincial election, the Tories, now called the "Progressive Conservatives", won a minority government, narrowly beating the social democratic Co-operative Commonwealth Federation (CCF) led by Ted Jolliffe. (Jolliffe and Drew had attended the same high school in Guelph, Ontario, the Guelph Collegiate Vocational Institute).

First term
Drew won by responding to the mood of the times and running on a relatively left-wing platform, promising such radical reforms as free dental care and Medicare. His government did not implement much of its promised platform (including Medicare or free dental care), but it established the basis for the Tory regimes that followed by trying to steer a moderate course.

Education
His government introduced the Drew Regulation in 1944, which made it compulsory for Ontario schools to provide one hour of religious instruction a week. By religious instruction, Drew meant the "instruction in the tenets of the Christian faith", a measure that was considered to be anti-Semitic by Ontario's Jewish community. Rabbi Abraham Feinberg led the opposition to the Drew regulation and said that it was "undemocratic, imperiling the separation of Church and State, and leading to disunity in society."

Relationship with federal government
Drew was strident in his criticism of the federal government of Mackenzie King, attacked its leadership in the Canadian war effort, chastised it during the Conscription Crisis of 1944 for not instituting full conscription, and accused it of attempting to centralize power.

1945 election
During the spring 1945 Ontario election, Drew ran a red-baiting campaign against the CCF's Ontario section. The previous two years of anti-socialist attacks by the Conservatives and their supporters, like Gladstone Murray and Montague A. Sanderson, were devastatingly effective against the previously popular CCF. Much of the source material for the anti-CCF campaign came from the Ontario Provincial Police (OPP)'s Special Investigation Branch's agent D-208: Captain William J. Osbourne-Dempster. His office was supposed to be investigating wartime fifth column saboteurs. Instead, starting in November 1943, he was investigating, almost exclusively, Ontario opposition MPPs and mainly focused on the CCF caucus. The fact that Jolliffe knew about these 'secret' investigations as early as February 1944 led to one of the most infamous incidents in 20th-century Canadian politics.

The accusation led to Drew ordering the LeBel Royal Commission to investigate the charges made by Jolliffe. The charges stemmed from Ontario's Official Opposition Leader Jolliffe, during the election campaign. He made the allegations during a campaign radio speech on 24 May 1945. Drew announced in a radio speech on 26 May that he would call an inquiry, and he appointed Mr. Justice A. M. LeBel to lead the commission on 28 May. Jolliffe and the Liberal leader, Mitchell Hepburn, made offers to withhold from electioneering and have the commission report before the election. Drew refused to postpone the election or to speed up the commission process. The commission began hearings on 20 June 1945, and heard final arguments on 20 July 1945. The report was issued on 11 October 1945, with LeBel agreeing with much of what Jolliffe charged but ultimately ruling that the Premier did not have a secret political police reporting to him, mainly due to the lack of direct documented evidence. In the late 1970s, that documented evidence was found, but the provincial government at the time considered the case closed.

The Conservatives got their majority, as they crushed the CCF on 4 June 1945. Drew's party won 66 out the 90 seats in the legislature and reduced Jolliffe's CCF to just 8 seats, which also meant that it was no longer the Official Opposition. Drew won 20 seats from the CCF directly, including Jolliffe's. The "Gestapo" claims against Drew seemed to do little, if any damage, and the CCF got nearly the same percentage in the popular vote as had been predicted by a Gallup poll one month earlier.

Hydro
Drew's government insisted on spending $400 million in a ten-year program to convert Ontario's electricity system from 25 cycles per second (hertz) to 60, which would standardize it with the rest of North America. The standardization allowed the province to join the North American power grid to easily import and export electricity, a prerequisite for the province's industrial development.

Immigration
Drew also helped spur postwar immigration to Ontario from 1947 to 1948 by setting up immigration offices throughout the United Kingdom and initiating cheap charter flights to bring an estimated 20,000 British immigrants to the province in what has been called the world's first mass migration by air. Drew, a committed British imperialist, focussed on attracting British immigrants because he felt they were "the right class of people" to bring to Canada.

Spending
Drew's government also increased funding for roads and highways and also increased funding for schools by increasing the provincial government's share for education spending from 15% to 50%. Through a government that made investments to modernize Ontario, Drew laid the basis for the province's postwar industrial expansion and for a Progressive Conservative dynasty that lasted 42 years and saw six successive Progressive Conservative premiers.

1948 election
While the Tories won a majority in the legislature in the 1948 election, Drew himself was defeated in his High Park electoral district, in west-end Toronto, by the CCFer and temperance crusader William "Temperance Willie" Temple, who had targeted Drew over his softening of Ontario's liquour laws by legalizing cocktail bars in Ontario. Drew blamed a supposed future communist takeover of Ontario on the failure of Ontarians to re-elect him.

Federal politics
While it would have been easy enough for Drew to re-enter the legislature by running in a by-election, Drew decided to enter federal politics. "Colonel Drew" (as he liked to be called) won the 1948 federal Progressive Conservative leadership convention, defeating John Diefenbaker on the first ballot.

Progressive Conservative Party Member of Parliament (MP) George Russell Boucher resigned his Carleton seat so that Drew could then contest it in a by-election in order to enter the House of Commons. The federal Co-operative Commonwealth Federation (CCF) was determined to defeat him, so they ran Eugene Forsey as their candidate. Bill Temple was brought up from Toronto to appear at a political meeting in Richmond, Ontario's Town Hall, where Forsey and Drew were speaking. He accused the Tory leader of being "a tool of the liquor interests" and also made suggestions about Drew's sobriety. Throughout the evening Drew grew more red-faced and explosive every time Temple spoke. Finally, after Drew misheard Temple calling him dishonest, the two men were restrained before they could come to physical blows with each other. A riot was barely averted, and the meeting had to be terminated. On December 20, 1948, Drew soundly defeated Forsey by over 8,000 votes — forcing the CCF candidate to lose his deposit — and went on to sit in Parliament. As leader of the federal Progressive Conservative Party and now an MP, he became Leader of the Opposition.

In the 1949 and 1953 federal elections, Drew's Tories were defeated handily by the Liberals, led by Louis St. Laurent. As a federal politician, Drew alienated potential supporters in Quebec when it was remembered that he had called French-Canadians a "defeated race". This rhetoric may not have been as damaging among some English-Canadian voters when he had been a provincial politician, but it was now used against him by his federal opponents. His support for conscription during World War II also hurt his prospects among French-Canadian voters. He ran against Forsey again in the Carleton district and defeated him by an even wider margin on June 27, 1949.

Drew led the PCs into one more general election in 1953, with slightly better results than the previous election. In poor health following a nearly fatal attack of meningitis, Drew resigned as Progressive Conservative leader on September 21 1956, and was succeeded by John Diefenbaker. On 12 December 1956 he received the Key to the City of Ottawa.

Later life
From 1957 to 1964 he served as Canadian High Commissioner to the United Kingdom and meanwhile worked with the newspaper baron and fellow Canadian Lord Beaverbrook in an attempt to influence British public opinion against joining the European Common Market, which Drew saw as a threat to the British Commonwealth.

Drew served as the first Chancellor of the University of Guelph from 1965 to 1971. In 1967, "for his services in government," he entered the newly created Order of Canada as a Companion. In November 1972, he had a heart attack and was admitted to Wellesley Hospital on November 19. His condition worsened due to congestive heart failure, and he slipped into and out of consciousness in late December and early January. In 1973, Drew died of heart failure in his Wellesley Hospital room at 78. He requested not to receive a state funeral and had a public family funeral in Toronto. He was buried in his family's plot, next to his first wife, Fiorenza Johnson, in the Woodlawn Cemetery in Guelph.

Honorary degrees
George Drew received honorary degrees from several universities including the following:

Archives
George Drew Archives are held at Library and Archives Canada and the Archives of Ontario.

title: George A. Drew


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Hope Valley line

The Hope Valley line is a trans-Pennine railway line in Northern England, linking Manchester with Sheffield. It was completed in 1894.

Passenger services on the line are operated by Northern Trains, East Midlands Railway and TransPennine Express, while the quarries around Hope, producing stone and cement, provide a source of freight traffic.

From Sheffield, the line follows the Midland Main Line through the south-west of the city to Dore & Totley, where the Hope Valley line branches off to run through the Totley Tunnel, the fourth-longest tunnel in England. It emerges in the Hope Valley area of Derbyshire, where it passes through the stations of Grindleford, Hathersage, Bamford, Hope and Edale before entering the two-mile-long Cowburn Tunnel. From the western portal of the tunnel, the line runs through Chinley, then splits. The northern branch runs via New Mills Central towards Manchester Piccadilly. The southern branch passes through the Disley Tunnel before merging with the Buxton line and then heading to Stockport to join the West Coast Main Line to Manchester.

Sheffield and Midland Joint Section
This section was built by the Sheffield and Midland Railway Companies' Committee as part of the Midland Railway's drive to reach Manchester with its line from London via Ambergate and Millers Dale. Initially, in 1867, it joined the Manchester, Sheffield and Lincolnshire Railway at Hyde Junction, running into Manchester London Road, but in 1875 a more direct route was built through Bredbury. When Manchester Central was opened by the Cheshire Lines Committee, a new line was built through Heaton Mersey. This third route was closed along with Manchester Central, apart from the section through Disley Tunnel to Hazel Grove, where it now joins the old LNWR line into Stockport.

Dore and Chinley
In 1872, the Midland Railway's only route from Sheffield to Manchester was via Ambergate. It had originally proposed a line to run from Dore to Hassop, meeting its extension from Rowsley to Buxton. However, the "Dore and Chinley Railway" was floated independently in 1872 and, unsuccessfully, until the Midland took an interest, since it would provide a more direct route, connecting through Chinley into Manchester. The line was authorised in 1884 and work began in 1888.

The 21 mi line took five years to build, opening to goods traffic in November 1893, with passenger traffic being carried from June 1894. The terrain through Hope Valley and the Vale of Edale was easy enough by Midland standards, but at each end there were formidable obstacles, negotiated by means of the Totley and Cowburn Tunnels.

20th century
At the time of the Beeching review, the line was running in competition with the recently modernised and faster Woodhead Line and its closure was suggested. On appeal, British Rail was required to keep the Hope Valley line open to passenger traffic; it was decided that the Woodhead route would be closed to passenger traffic instead and then subsequently to all traffic in 1981, due to the high cost of further upgrading the line to modern standards.

Metrolink proposals
In the early 1980s, proposals were put forward to convert the Piccadilly–Belle Vue–Rose Hill/Marple section of the Hope Valley line to light rail operation for the proposed Manchester Metrolink system. While construction of Metrolink went ahead, the Hope Valley line was not included in the system which was completed in 1992. When in 2000, proposals for a large-scale extension of Metrolink were announced by the government, these still did not include conversion of the Hope Valley line; but, subsequently, planning documents from Network Rail and from the Greater Manchester Passenger Transport Authority have suggested that this route might be appropriate for tram-train operation, and, as such, it was suggested to the Department for Transport as a possible location for a national tram-train pilot.

2019 closure
On 1 August 2019, the line was closed between Marple and Sheffield amid fears that the dam at Toddbrook Reservoir would collapse, following heavy rain, which would flood the town of Whaley Bridge. The Buxton line, between Hazel Grove and Buxton, was also closed because of this. The line was re-opened on 7 August 2019.

Services
The following passenger services traverse all or part of the Hope Valley Line:

Northern Trains:

East Midlands Railway:

TransPennine Express:

Future

In 2005 planning applications for various parts of a capacity and modernisation scheme were submitted. In 2015, a consultation pack on the capacity enhancement of the line was released by Network Rail.

Nottinghamshire County Council and the Department for Transport have investigated the possibility of adding another service that does not call at Sheffield in order to improve the journey time between Nottingham and Manchester. Stopping (and changing direction) in Sheffield, the fastest journey is 110 minutes (in 2019), but the council has estimated bypassing Sheffield would cut the time to 85 minutes. Suggested improvements on a 2+1/2 mi stretch near Stockport may reduce journey times by 2–3 minutes.

Network Rail, in partnership with South Yorkshire ITA, will redouble the track between Dore Station Junction and Dore West Junction, at an estimated cost of £15 million. This costing is based on four additional vehicles in traffic to deliver the option, however, this will depend on vehicle allocation through the DfT rolling stock plan. This work will be programmed, subject to funding, in conjunction with signalling renewals in the Dore/Totley Tunnel area.

In 2018, proposals were published for works in order to fit in an all-day (07:00–19:00) hourly Manchester–Sheffield via New Mills Central stopping service, by extending an existing Manchester–New Mills Central service. Planning permission for the upgrade was granted in February 2018, but delays mean that this will now not be completed until 2023. The TWAO was also published in 2018. These changes to allow three fast trains, a stopping train and freight trains each hour were also supported in a Transport for the North investment report in 2019, together with “further interventions” for the Northern Powerhouse Rail programme.

In March 2021, it was announced by Minister of State for Transport, Andrew Stephenson, that £137 million would be used to upgrade the line. The local MP Robert Largan claimed he had campaigned hard for this upgrade. A joint venture between Volker Rail and Story Contracting was awarded an £80 million contract for the delayed Hope Valley upgrade. The work includes creating a 3600 ft passing loop between Bamford and Hathersage, and adding a second track and platform at Dore and Totley station. This will allow passenger trains to pass slower-moving freight and allow three fast trains per hour between Manchester and Sheffield. There will also be improvements to the Jaggers Lane Bridge in Hathersage. Work started on 29 May 2022 and is expected to be complete by spring 2024.

Freight
Around 66% of the works output (1,000,000 tonne per year) of cement from Hope Cement Works a year is taken away by rail from the seven-road Earle's Sidings at Hope. When G & T Earle opened Earle's Cement works in 1929, it was linked to the Hope Valley Line by a 1 mi single track railway, which was worked by steam until 1963. Most of the cement now travels over it in trains hauled by locomotives to Earle's Sidings, where it is taken over by Freightliner.

license: Creative Commons - Attribution Share-Alike - https://creativecommons.org/licenses/by-sa/4.0/

title: Hope Valley line


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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.

 * 1) A "view centered description" is derived from the perceptual input. Simple physical aspects of the face are used to work out age, gender or basic facial expressions. Most analysis at this stage is on feature-by-feature basis.
 * 2) This initial information is used to create a structural model of the face, which allows it to be compared to other faces in memory. This explains why the same person from a novel angle can still be recognized (see Thatcher effect).
 * 3) The structurally encoded representation is transferred to theoretical "face recognition units" that are used with "personal identity nodes" to identify a person through information from semantic memory. Interestingly, the ability to produce someone's name when presented with their face has been shown to be selectively damaged in some cases of brain injury, suggesting that naming may be a separate process from being able to produce other information about a person.

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 those with PET and fMRI, 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.
 * While newborns will often show particular interest in faces at around three months of age, that preference slowly disappears, re-emerges late during the first year, and slowly declines once more over the next two years of life.
 * While newborns show a preference to faces as they grow older (specifically between one and four months of age) this interest can be inconsistent.
 * Infants turning their heads towards faces or face-like images suggest rudimentary facial processing capacities.
 * The re-emergence of interest in faces at three months is likely influenced by a child's motor abilities.

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.
 * Seven-month-olds seem capable of associating emotional prosodies with facial expressions. When presented with a happy or angry face, followed by an emotionally neutral word read in a happy or angry tone, their event-related potentials follow different patterns. Happy faces followed by angry vocal tones produce more changes than the other incongruous pairing, while there was no such difference between happy and angry congruous pairings. The greater reaction implies that infants held greater expectations of a happy vocal tone after seeing a happy face than an angry tone following an angry face.
 * By the age of seven months, children are able to recognize an angry or fearful facial expression, perhaps because of the threat-salient nature of the emotion. Despite this ability, newborns are not yet aware of the emotional content encoded within facial expressions.
 * Infants can comprehend facial expressions as social cues representing the feelings of other people before they are a year old. Seven-month-old infants show greater negative central components to angry faces that are looking directly at them than elsewhere, although the gaze of fearful faces produces no difference. In addition, two event-related potentials in the posterior part of the brain are differently aroused by the two negative expressions tested. These results indicate that infants at this age can partially understand the higher level of threat from anger directed at them. They also showed activity in the occipital areas.
 * Five-month-olds, when presented with an image of a fearful expression and a happy expression, exhibit similar event-related potentials for both. However, when seven-month-olds are given the same treatment, they focus more on the fearful face. This result indicates increased cognitive focus toward fear that reflects the threat-salient nature of the emotion. Seven-month-olds regard happy and sad faces as distinct emotive categories.
 * By seven months, infants are able to use facial expressions to understand others' behavior. Seven-month-olds look to use facial cues to understand the motives of other people in ambiguous situations, as shown in a study where infants watched the experimenter's face longer if the experimenter took a toy from them and maintained a neutral expression, as opposed to if the experimenter made a happy expression. When infants are exposed to faces, it varies depending on factors including facial expression and eye gaze direction.
 * Emotions likely play a large role in our social interactions. The perception of a positive or negative emotion on a face affects the way that an individual perceives and processes that face. A face that is perceived to have a negative emotion is processed in a less holistic manner than a face displaying a positive emotion.
 * While seven-month-olds have been found to focus more on fearful faces, a study found that "happy expressions elicit enhanced sympathetic arousal in infants" both when facial expressions were presented subliminally and in a way that the infants were consciously aware of the stimulus. Conscious awareness of a stimulus is not connected to an infant's reaction.

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).
 * Early perceptual experience is crucial to the development of adult visual perception, including the ability to identify familiar people and comprehend facial expressions. The capacity to discern between faces, like language, appears to have broad potential in early life that is whittled down to the kinds of faces experienced in early life.
 * The neural substrates of face perception in infants are similar to those of adults, but the limits of child-safe imaging technology currently obscure specific information from subcortical areas like the amygdala, which is active in adult facial perception. They also showed activity near the fusiform gyrus,
 * Healthy adults likely process faces via a retinotectal (subcortical) pathway.
 * Infants can discern between macaque faces at six months of age, but, without continued exposure, cannot do so at nine months of age. If they were shown photographs of macaques during this three-month period, they were more likely to retain this ability.
 * Faces "convey a wealth of information that we use to guide our social interactions". They also found that the neurological mechanisms responsible for face recognition are present by age five. Children process faces is similar to that of adults, but adults process faces more efficiently. The may be because of advancements in memory and cognitive functioning.
 * Interest in the social world is increased by interaction with the physical environment. They found that training three-month-old infants to reach for objects with Velcro-covered "sticky mitts" increased the attention they pay to faces compared to moving objects through their hands and control groups.

Ability to 'mimic' faces
A commonly disputed topic is the age at which we can mimic facial expressions.
 * Infants as young as two days are capable of mimicking an adult, able to note details like mouth and eye shape as well as move their own muscles to produce similar patterns.
 * However, the idea that infants younger than two could mimic facial expressions was disputed by Susan S. Jones, who believed that infants are unaware of the emotional content encoded within facial expressions, and also found they are not able to imitate facial expressions until their second year of life. She also found that mimicry emerged at different ages.

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. 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.

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:
 * recognition of the face
 * recall of memories and information linked with that face
 * name recall

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 is 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 electrophysiological 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 nine 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:

 * 1) evaluating whether previously known event-related potential components such as N170 and others are involved in individual face recognition or not
 * 2) locating temporal landmarks of individual level recognition from event-related potential signals
 * 3) figuring out the spatial profile of individual face recognition

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.

Social perceptions of faces
People make rapid judgements about others based on facial appearance. Some judgements are formed very quickly and accurately, with adults correctly categorising the sex of adult faces with only a 75ms exposure and with near 100% accuracy. The accuracy of some other judgements are less easily confirmed, though there is evidence that perceptions of health made from faces are at least partly accurate, with health judgements reflecting fruit and vegetable intake, body fat and BMI. People also form judgements about others' personalities from their faces, and there is evidence of at least partial accuracy in this domain too.

Valence-dominance model
The valence-dominance model of face recognition is a widely cited model that suggests that the social judgements made of faces can be summarised into two dimensions: valence (positive-negative) and dominance (dominant-submissive). A recent large-scale multi-country replication project largely supported this model across different world regions, though found that a potential third dimension may also be important in some regions and other research suggests that the valence-dominance model also applies to social perceptions of bodies.

title: Face perception