Research

The Sun Lab investigates the computational principles underlying learning and cognition in biological systems, with the goal of using these insights to advance artificial intelligence. We operate at the intersection of systems neuroscience, computational modeling, and machine learning.

On the neuroscience side, we employ modern techniques such as large-scale 2-photon calcium imaging to simultaneously record from thousands of neurons in behaving animals. This allows us to study how the brain—particularly the hippocampus—constructs cognitive maps: internal representations of the world that support flexible reasoning, planning, and generalization to novel situations.

On the AI side, we leverage insights from how biological brains organize knowledge to develop neuro-inspired algorithms. Our work spans multiple frontiers of modern AI research, from improving how foundation models handle compositional generalization to building world models that enable more human-like reasoning and planning.

Additionally, the lab engages in software and hardware engineering to develop custom tools that support and streamline our research efforts. By combining cutting-edge neuroscience techniques, innovative AI algorithms, and purpose-built engineering solutions, we aim to advance our understanding of intelligence and push the boundaries of what is possible in both biological and artificial systems.