Dr. Kenneth Norman

Biography

Kenneth Norman is a professor at Princeton Neuroscience Institute, where he employs computational models to explore the brain mechanisms associated with learning and memory phenomena. His research group focuses on testing the predictions of these models using neuroimaging studies aimed at decoding individuals' thoughts related to learning and memory retention. Ongoing investigations in his lab address pivotal questions such as the principles that dictate how memories are modified in the brain, the role of sleep in learning, how memories are timestamped, and the mechanisms behind intentional forgetting. A significant aspect of his research includes collaborating with fellow Princeton researchers to create innovative machine learning methods for analyzing distributed patterns of neural activity. His work also involves the development of 'data mining' algorithms to pinpoint fMRI and EEG signatures that correlate with specific thoughts and memories. Additionally, he is creating new analysis tools to monitor the fluctuations in people's thoughts during experiments, as well as real-time neurofeedback methods that allow researchers to adjust studies dynamically based on participants' thinking patterns.

Research Interests