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We are all now connected by the Internet, like neurons in a giant brain.

 

Stephen Hawking

 

Computer can read letters directly from the brain

RATE THIS! +53
Posted in Science on 20th Aug, 2013 11:39 PM by AlexMuller

Functional MRI scanners have been used in cognition research primarily to determine which brain areas are active while test subjects perform a specific task. The question is simple: is a particular brain region on or off? A research group at the Donders Institute for Brain, Cognition and Behaviour at Radboud University has gone a step further: they have used data from the scanner to determine what a test subject is looking at.

 

 The researchers ‘taught' a model how small volumes of 2x2x2 mm from the brain scans - known as voxels - respond to individual pixels. By combining all the information about the pixels from the voxels, it became possible to reconstruct the image viewed by the subject. The result was not a clear image, but a somewhat fuzzy speckle pattern. In this study, the researchers used hand-written letters.


Prior knowledge improves model performance


‘After this we did something new', says lead researcher Marcel van Gerven. ‘We gave the model prior knowledge: we taught it what letters look like. This improved the recognition of the letters enormously. The model compares the letters to determine which one corresponds most exactly with the speckle image, and then pushes the results of the image towards that letter. The result was the actual letter, a true reconstruction.'


‘Our approach is similar to how we believe the brain itself combines prior knowledge with sensory information. For example, you can recognise the lines and curves in this article as letters only after you have learned to read. And this is exactly what we are looking for: models that show what is happening in the brain in a realistic fashion. We hope to improve the models to such an extent that we can also apply them to the working memory or to subjective experiences such as dreams or visualisations. Reconstructions indicate whether the model you have created approaches reality.'



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Comments

Author: Guest
Posted: 2013-08-21
+2
Don't like the sound of getting too technical with the brain with machines. Reply
Author: Guest
Posted: 2013-09-05
+0
Nu8Qha I truly appreciate this post. Awesome. Reply
Author: Guest
Posted: 2013-09-06
+0
rnhFNa I think this is a real great blog.Really thank you! Reply
Author: Guest
Posted: 2013-09-24
+0
x1Xg6O Say, you got a nice post.Really looking forward to read more. Fantastic. Reply
Author: Guest
Posted: 2013-10-15
+0
MbWh55 Say, you got a nice blog post.Much thanks again. Great. Reply
Author: Guest
Posted: 2013-10-26
+0
5wlTnc Say, you got a nice blog article.Much thanks again. Fantastic. Reply
Author: Guest
Posted: 2013-10-31
+0
rVAfR8 Really informative blog article.Much thanks again. Will read on... Reply
Author: Guest
Posted: 2014-01-31
+0
tZLv4D Really enjoyed this article post.Really looking forward to read more. Keep writing. Reply
Author: Guest
Posted: 2014-04-19
+0
8AjTMV Awesome article.Really thank you! Want more. Reply


 

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