|Presentation Date||October 2, 2012|
|Topic(s)||Brain Image Reconstruction|
A recent experiment in UC Berkeley was done to help develop a way to reconstruct images from the brain into another output (in this case, a video). The purpose of this experiment was to find a way to reconstruct dynamic visual images by analyzing brain activity. Previous experiments provided a way to reconstruct static visual images, but this experiment was the first one to be on dynamic images. Using movie clips, the people at UC Berkeley were able to successfully decode the brain activity of the visual cortex and reconstruct an approximate visual representation of the image based on brain activity.
This experiment can have far reaching possibilities, which include a way to help diagnose brain diseases like dementia and can further the develop of neural prosthesis. This experiment was able to provide further insight on how the brain works and can go a long way in developing a more accurate model of a brain in software.
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