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A Brain Model “with Real Pieces” Learns How Animals and Uncovers Neurons that Push Error
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Imagining a brain on a screen often sounds like a cartoon: a network that learns because we give it thousands of examples, adjusts parameters and corrects it. The work that has just been published in Nature Communications goes another way. A team with researchers from Dartmouth College, MIT and New York State University in Stony Brook has built a biomimetic brain model from scratch, trying to respect not only what the system calculates, but “how…
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