In one aspect of vision, computers catch up to primate brain | MIT News

Posted: December 19, 2014 in brain
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In one aspect of vision, computers catch up to primate brain | MIT News.

Taking advantage of very large amounts of computation processing power and access to large datasets to train – develop the algorithms, scientists have created a computer model that is capable of recognizing objects visually as well as a macaque monkey brain.

“Led by Hong and Majaj, they implanted arrays of electrodes in the IT cortex as well as in area V4, a part of the visual system that feeds into the IT cortex. This allowed them to see the neural representation — the population of neurons that respond — for every object that the animals looked at.
The researchers could then compare this with representations created by the deep neural networks, which consist of a matrix of numbers produced by each computational element in the system. Each image produces a different array of numbers. The accuracy of the model is determined by whether it groups similar objects into similar clusters within the representation.”

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