The Princeton Computational Memory Lab tracks learning and memory in the brain

We use computational models to explore how the brain gives rise to learning and memory phenomena, and then we test the predictions of these models using neuroimaging studies where we decode people’s thoughts as they learn and remember. With other Princeton researchers, we are also developing new machine learning methods for analyzing distributed patterns of neural activity. We use these new analysis tools to track how thoughts and memories change over time.

Learn more about our research