Kenneth Norman

Ken Norman is the Huo Professor in Computational and Theoretical Neuroscience at Princeton University, with affiliations at the Princeton Neuroscience Institute and the Department of Psychology. He employs computational modeling and neuroimaging techniques to investigate the neural mechanisms underlying learning and memory.

• PhD: Harvard University

Research Interests focus on decoding neural activity patterns through fMRI and EEG, developing machine learning algorithms for data mining neural signatures, and exploring real-time neurofeedback methods. His work bridges computational neuroscience, cognitive psychology, and artificial intelligence, with specific attention to memory consolidation during sleep, event boundary detection in narratives, and cross-modal memory representations.

Scientific Contributions include the development of the Princeton Computational Memory Lab, which investigates learning rules, memory timestamping, and intentional forgetting mechanisms. Articles published between 2021-2025 reveal trends in episodic memory modeling, REM sleep effects, and neurofeedback applications for depression treatment.

• Psychonomic Society Mid-Career Award
• Graduate Mentoring Award

Advising includes mentoring PhD students like Cody Dong and Ariadne Letrou, who explore questions about neural learning rules and sleep-memory interactions. His research has been supported by grants including a $16M Princeton-Rutgers collaboration on mental illness.