Research

Research

We build multi-scale, high-fidelity, scalable brain-simulation platforms and computational models. From foundational software and parallel algorithms to modeling theory and computational models, we push end-to-end simulation from ion channels through cells, circuits, and whole-brain networks.

Our research advances along three mutually-supporting tracks: BrainX, our in-house software ecosystem, as the infrastructure; differentiable and learnable modeling algorithms as the methodology; whole-brain models of model organisms as the scientific testbed. Our long-term goal is a biologically realistic, functionally meaningful whole-brain model — applied to decoding brain function, studying disease mechanisms, and powering next-generation brain-inspired AI.