Scientists Discover Surprising Similarity Between Neural Networks and Human Brain.
A team of scientists found a surprising similarity between how human brains and artificial neural networks perceive the world.
In the human brain, visual information passes through several cortices that each interpret different aspects of an image, ultimately piecing together our perception of the world around us. A new study published in the journal Current Biology found that aspects of 3D shapes — like bumps and spheres — are interpreted early on in the process. And, it turns out, the same thing happens in artificial neural networks as well.
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