What our eyes can't see, the brain fills in
(PhysOrg.com) -- Researchers from the University of Glasgow have shown that when parts of our vision are blocked, the brain steps in to fill in the blanks.
The team from the Institute of Neuroscience and Psychology conducted a series of experiments that showed how our brains predict what cannot be seen by drawing on our previous experiences to build up an accurate picture.
The results show that our brains do not rely solely on what is shown to the eyes in order to see. Instead the brain constructs a complex prediction.
Dr Lars Muckli, from the Universitys Institute of Neuroscience and Psychology said: We are continuously anticipating what we will see, hear or feel next. If parts of an image are obstructed we still have precise expectation of what the whole object will look like.
When direct input from the eye is obstructed, the brain still predicts what is likely to be present behind the object by using some of the other inputs to come up with best guesses.
We showed three different images to a group of subjects. The lower right section of each image was covered with a white rectangle. Using MRI brain imaging equipment we then measured brain activity in the region responding to the white rectangle.
Dr Fraser Smith, from the same Institute, said: On first sight, the brains response to the white rectangle is quite similar for each image but we were able to use brain reading techniques to reveal what the subjects brain saw behind the white panel. Subjects dont see what is hidden but the brain is still able to make a good estimate.
Effectively, our brains construct an incredibly complex jigsaw puzzle using any pieces it can get access to. These are provided by the context in which we see them, our memories and our other senses.
Dr Muckli added: Sometimes the brains guess can be so convincing that we see visual illusions; in our example there was no visual illusion seen the white space was not filled-in by an actual illusion. Nevertheless we found a way to reveal the brains guess of what lies behind the object.
The results of the study, which was funded by the Biotechnology and Biological Sciences Research Council, have been published in the journal Proceedings of the National Academy of Sciences.
The findings build on a fairly new hypothesis developed by University College London neuroscientist Karl Friston called predictive coding (or free energy principle) which suggests the brain actively predicts what input it will receive, rather than just passively processing information as it arrives.
Dr Muckli believes the new results provide insight into how our brains make these predictions.
He said: The brains main function is to minimise surprise that is what it has evolved to do.
Memory and the predictive power of the brain combine in a very powerful way to allow us to anticipate our surroundings. Any kind of predictive method is an advantage to a biological system.
If you are driving a car and a pedestrian is suddenly obscured say by a pillar box or your rear view mirror your brain still knows where they are and where they will reappear in your line of vision. Without that ability, we would be lost in everyday life.
This theory has an impact on how many older peoples mental functions deteriorate rapidly when they are rehoused. The memory/prediction balance is skewed as they are in unfamiliar surroundings. As they have no memory of their surroundings, they lose the ability to predict.
This field of study could have serious implications for the treatment of a range of neural conditions.
More information: Nonstimulated early visual areas carry information about surrounding context, PNAS November 16, 2010 vol. 107 no. 46 20099-20103, doi:10.1073/pnas.1000233107
Provided by University of Glasgow
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Rank: 1 / 5 (2)
BOO YOU, BAD SCIENCE!
Apr 04, 2011
Rank: 1 / 5 (1)
I don't think its bad science. But they probably could have used the money in an area that would have yielded much more valuable information at the moment like Alzheimer!
Apr 05, 2011
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Apr 06, 2011
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I think, spending a bit of money on this research (less than multimillion) is better before we design medication. Developing medication on the basis of understanding brain functions is indeed a good idea. (..to be continued.)
Apr 06, 2011
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I agree, it must be an easy task to do predictive coding, in the end all animals can do it, if you have a workable algorithm in mind I can assure you, you will be very famous and very rich and you will do society a big favour if you implement it into a computer. Regards, Lars Muckli
Apr 06, 2011
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