Researchers, using machine learning and brain imaging, have found a way to identify where people’s thoughts and perceptions of familiar objects originate in the brain by identifying the patterns of brain activity associated with the objects. Scientists were also able to accurately determine which of the 10 drawings a participant was viewing based on their characteristic whole-brain neural activation patterns.