Dr. Kenneth Norman

Biography

Norman lab uses computational models to explore how the brain gives rise to learning and memory phenomena, testing the models’ predictions using neuroimaging studies that decode how people think, learn, and remember. Currently, the students in the lab are investigating questions such as: What are the 'learning rules' that govern how memories are modified in the brain? How does sleep contribute to learning? Are memories time-stamped? Can we intentionally forget memories? In neuroimaging work, the lab is developing new machine learning methods for analyzing distributed patterns of neural activity, collaborating with researchers at Princeton. For example, they are developing 'data mining' algorithms to isolate fMRI and EEG signatures related to specific thoughts and memories, and are creating new analysis tools to track how people’s thoughts come and go, changing the course of experiments. Additionally, they are developing real-time neurofeedback methods that allow studies to adapt in real-time based on what people are thinking.

Research Interests