Unraveling Brain Mysteries with AI's Self-Learning Models

Researchers at MIT have found evidence suggesting that the brain may use a process similar to self-supervised learning, a technique used in artificial intelligence (AI), to develop an intuitive understanding of the physical world. By training neural networks using self-supervised learning, the resulting models generated activity patterns similar to those observed in the brains of animals performing similar tasks. This breakthrough could provide insights into the inner workings of the mammalian brain and enhance our understanding of AI.