Stephanie Rogers, Mother Nature Network
February 2010
[Ed. Note: All-Creatures.org does not approve of the use of any living beings for "research" or "experimentation." We post this to enlighten people who may not appreciate the wonder and mystery and efficiency of all living creatures.]
Researchers have discovered that bees use the same technique as humans to piece the components of a face including eyes, ears and noses into a recognizable pattern.
Researchers find that bees use the same technique as humans to
differentiate one face from another.
The next time you’ve got an urge to swat at a bee flying near your head,
think twice: it might just remember your face. Researchers have discovered
that bees use the same technique as humans to piece the components of a face
including eyes, ears and noses into a recognizable pattern, according to the
New York Times.
This ‘configural processing’ allows bees to differentiate one human face
from another, the research team reports in The Journal of Experimental
Biology.
The researchers, including neural biology professor Martin Giurfa of the
University of Toulouse, France, created a display of hand-drawn images
including faces and other objects.
Bowls of sugar water were placed in front of the faces, with plain water in
front of non-faces. The bees kept returning to the images associated with
sugar water.
After a few hours, the bees were able to distinguish faces that provided
sugar water from faces that didn’t about 75 percent of the time.
A previous study by Australian researcher Adrian Dyer employed a similar
method, but punished the bees with a bitter tasting solution when they were
unable to correctly recognize an image. Dyer’s study also prompted the bees
to recognize the same human face from various angles.
Both studies may aid in the improvement of computerized facial recognition
systems. Since bee brains have only about a million neurons —compared to 100
million in the human brain — the study proves that it doesn’t take a complex
neural network to distinguish objects, and that could extend to computers as
well.
“We could imagine that through repeat exposure, we may be able to train
machines to extract a configuration and know that ‘This a motorbike’ or no,
‘This is rather a dog,’ ” Giurfa told the New York Times.
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