NYU Scientists Develop Computer Model Explaining How Brain Learns to Categorize

New York University researchers have devised a computer model to explain how a neural circuit learns to classify sensory stimuli into discrete categories, such as "car vs. motorcycle." Their findings shed new light on the brain processes underpinning judgments we make on a daily basis.

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