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Study Shows How Believing Can Be Seeing
Scientists have found the link between what we expect to see, and what our brain tells us we actually saw. The study, published February 15 in the
open-access journal PLoS Computational Biology, reveals that the context surrounding what we see is all important - sometimes overriding the
evidence gathered by our eyes and even causing us to imagine things that aren't really there.
Using a mathematical model, researchers Li Zhaoping and Li Jingling at University College London determined that a vague background context is more
influential and helps us to fill in more blanks than a bright, well-defined context. This may explain why we are prone to 'see' imaginary shapes
in the shadows when the light is poor.
Eighteen observers were asked to concentrate on the center of a black computer screen. Every time a buzzer sounded they pressed one of two buttons to
record whether or not they had just seen a small, dim, grey "target" rectangle in the middle of the screen. It did not appear every time, but when
it did appear it was displayed for just 80 milliseconds.
"People saw the target much more often if it appeared in the middle of a vertical line of similar looking, grey rectangles, compared to when it
appeared in the middle of a pattern of bright, white rectangles," said Zhaoping. "They even registered 'seeing' the target when it wasn't
actually there. This is because people are mentally better prepared to see something vague when the surrounding context is also vague. It made sense
for them to see it - so that's what happened. When the target didn't match the expectations set by the surrounding context, they saw it much
less often.
"Mathematical modelling suggests that visual inference through context is processed in the brain beyond the primary visual cortex. By starting with
a relatively simple experiment such as this, where visual input can be more easily and systematically manipulated, we are gaining a better
understanding of how context influences what we see. Further studies along these lines can hopefully enable us to dissect the workings behind more
complex and wondrous illusions."
Filling-in and suppression of visual perception from context: A Bayesian account of perceptual biases by contextual influences
Zhaoping L, Jingling L
PLoS Comput Biol 4(2): e14. doi:10.1371/journal.pcbi.0040014
Please click here to view article online
About PLoS Computational Biology
PLoS Computational Biology features works of exceptional significance that further our understanding of living systems at all
scales through the application of computational methods. All works published in PLoS Computational Biology are open access. Everything is immediately
available subject only to the condition that the original authorship and source are properly attributed. Copyright is retained by the authors. The
Public Library of Science uses the Creative Commons Attribution License.
PLoS Computational Biology
About the Public Library of Science
The Public Library of Science (PLoS) is a non-profit organization of scientists and physicians committed to making the world's scientific and medical
literature a freely available public resource.
Public Library of Science
Studiul aratã cum poate fi crezând vezi - Study Shows How Believing Can Be Seeing - articole medicale engleza - startsanatate