"The idea is that over long periods of time, traces of memory for visual objects are being built up slowly in the neocortex," Clerkin said. "When a word is spoken at a specific moment and the memory trace is also reactivated close in time to the name, this mechanism allows the infants to make a connection rapidly." The researchers said their work also has significant implications for machine learning researchers who are designing and building artificial intelligence to recognize object categories. That work, which focuses on how names teach categories, requires massive amounts of training for machine learning systems to even approach human object recognition. The implication of the infant pathway in this study suggests a new approach to machine learning, in which training is structured more like the natural environment, and object categories are learned first without labels, after which they are linked to labels.