A Tufts University Neuroscientist Erik Hoel has come up with the idea that we need to go further in understanding our dreams for answers on why we dream, according to Hoel. " This is the overfitted brain hypothesis (OBH). The goal of this paper is to formally fill-out the OBH by investigating the evidence that the brain fits to a dataset composed of the statistically similar daily experiences of the organism, while nightly dreams improve the generality and robustness of an animal's representations, cognition, and perceptual systems , by generating data far outside the organism's daily ”training set” in a warped or corrupted way. This idea is supported by the idea that stochasticity (such as corrupted or sparse inputs) is critical in machine learning ." Hoel states in his recent article linking to an article that we need to explore the means of artificial Intelligents to understand dream!
