The Lee lab studies how computations and behavior arise from neuronal circuits. We seek to understand organizational principles underlying information processing across species.

Our focus is on understanding how neuronal circuits are organized to enable action selection, execution, and refinement across species. Our approach is to develop and apply tools for ‘functional connectomics’: combining behavior, activity imaging, comprehensive structural microscopy, machine learning, and modeling to reveal relationships between neuronal network structure and function.

Our work is guided by several key questions:
* What rules underlie network connectivity?
* What circuits motifs are conserved and what differentiates brains – and brain regions?
* What are fundamental constraints on network behavior?
* How are such rules enforced during development?