The brain may learn about the world the same way some comput

New MIT studies support the idea that the brain uses a process similar to a machine-learning approach known as “self-supervised learning.” This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.

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Aran Nayebi , Rylan Schaeffer , Ila Fiete , Mehrdad Jazayeri , Robert Yang , Mikail Khona , K Lisa Yang Icon Center , National Institutes Of Health , Helen Hay Whitney Foundation , Mcgovern Institute For Brain Research , Mcgovern Institute , Mcknight Foundation , Icon Center , Simons Foundation , Yang Integrative Computational Neuroscience , Rishi Rajalingham , Meta Reality Labs , Brain Research , Neural Information Processing Systems , National Institutes , Helen Hay Whitney , Self Supervised Learning , Grid Cells , Computational Models ,