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 and Psychology conducted a series of experiments that showed how our brains predict what cannot be seen by drawing on our previous 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 constructs a complex prediction.

Dr Lars Muckli, from the University’s Institute of Neuroscience and 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 subject’s brain ‘saw’ behind the white panel. Subjects don’t 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 brain’s 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 brain’s 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 people’s 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
Citation: What our eyes can't see, the brain fills in (2011, April 4) retrieved 20 September 2019 from https://medicalxpress.com/news/2011-04-eyes-brain.html
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Apr 04, 2011
Wow. Any 5 year old that watches cars pass by through the spaces between fence boards could have told you that, and without the multimillion dollar research grant.


Apr 04, 2011
Wow. Any 5 year old that watches cars pass by through the spaces between fence boards could have told you that, and without the multimillion dollar research grant.


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
Any study that tells us more about our brains is a worthwhile study. Most children don't hook their brains up to computers when they watch cars drive by. We all know that we predict future events, but this is a more quantitative analysis.

Apr 06, 2011
Thank you for your interest in our research. You have a good point (alphakronik) perceptual filling-in is of course a well known phenomenon and indeed children are good at it. Therefore it is a good example to use in media - the more interested reader are welcome to look at the original article which is free for download at PNAS. The unresolved question is how our brains actually extrapolate this kind of information. And the bigger question is of course to understand brain processes and feedback-processes (down to V1). We believe that we have found a good approach to learn valuable information about this process.
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
The pressure is high nowadays to have products (medications, iphone applications) instead of basic research. Any grant agency (in the UK) will ask for the practical use of this research before giving you money. It is a very competitive approach. The entire money that is spend through research councils in the UK (any research you can think of, engineering, medical, social) equals the amount that is paid to the bankers in bonuses each year (round about 7.5 Billion).
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
does this mean my friend who had a partial separation of the retina, and now has brown spots in her vision, will eventually grow the neurons to fill in faster what she doesn't see, so she will slowly become able to see "past" the spots?

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