Researchers at Dartmouth, MIT, and Stony Brook developed a computational brain model that mimics biological neural circuits and learned a visual categorization task as effectively as lab animals, without training on animal data. The model incorporates both microscale neuron connections and macroscale brain architecture across

6m read time From news.mit.edu
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