A new understanding of how the brain recognizes what the eye sees — based on work by researchers at the Salk Institute — may help in the development of therapies for sensory impairment and could also improve self-driving cars.
According to researchers, visual perception begins in the eye with light and dark pixels, with signals sent to the back of the brain to an area called V1 where they are transformed to correspond to edges in the visual scenes. Researchers have reportedly developed statistical method that takes the complex responses that occur in V1 and describes them in interpretable ways, which could be used to help decode vision for computer-simulated vision.
Additionally, researchers were able to apply their statistical technique to figure out how V2 neurons respond to visual information, ultimately providing a better understanding of visual processing.
The research was recently published in the journal Nature Communications.
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