Dr. Kenneth Norman

Biography

The Norman lab utilizes computational models to explore how the brain gives rise to learning and memory phenomena. We test our models’ predictions through neuroimaging studies where we decode people's thoughts as they learn and remember. Currently, our students are investigating questions such as: what 'learning rules' govern the modification of memories in the brain? How does sleep contribute to learning? Are memories ‘time stamped’? Can we intentionally forget memories? In our neuroimaging work, we are developing new machine learning methods, in collaboration with researchers at Princeton, to analyze distributed patterns of neural activity. For example, we are creating 'data mining' algorithms to isolate fMRI and EEG signatures that correspond to specific thoughts and memories. We also employ new analysis tools to track how people's thoughts come and go, which can change the course of an experiment. Additionally, we are developing real-time neurofeedback methods that allow us to adapt studies online based on what people are thinking.

Research Interests