A recent British study shows that sheep have a highly developed ability
to recognise the faces of celebrities.
Although it has long been known
that sheep are able to recognise the faces of their human owners and handlers,
scientists have now shown that sheep can be trained to recognise images of
famous people.
Professor Jenny Morton, the lead
scientist in the Cambridge University study, said that the study showed that sheep
have face-recognition abilities comparable with those of humans or monkeys.
Morton’s team trained eight sheep
to recognise the faces of four celebrities: journalist Fiona Bruce, actors Jake
Gyllenhaal and Emma Watson, and former US president Barack Obama.
In the tests, each animal was shown
two faces in which one was the celebrity face. Each animal was given a reward
of a cereal pellet (food) if it approached the correct image.
The sheep were put in an enclosure
and tested on whether they recognised the celebrities without the cereal
rewards. The result was that 80% of the time, the sheep correctly identified
the celebrity.
The research team also discovered
that the sheep distinguished the faces of their owners and handlers before they
recognised the faces of the celebrities. Owners and handlers are people that
the sheep spends at least two hours a day with. The sheep picked the real-life
familiar faces before they picked famous people 70% of the time.
Sheep's facial recognition
abilities could be used to investigate Huntington's disease, which can cause
people to lose the ability to recognise people. The research team has now begun
studying sheep genetically modified to carry the mutation that causes the
disease.
http://news.sky.com/story/sheep-are-able-to-recognise-celebrity-faces-study-shows-11117922
MARTINA NICOLLS is an international aid and development consultant, and the author of:- Similar But Different in the Animal Kingdom
(2017), The Shortness of Life: A Mongolian Lament (2015), Liberia’s Deadest
Ends (2012), Bardot’s Comet (2011), Kashmir on a Knife-Edge (2010) and The
Sudan Curse (2009).
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