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Data–Driven AI Models of Brain Systems

Use machine learning to construct functional digital emulations of human and primate brain systems. These models, built at varying levels of fidelity, support automated interpretability and data-driven discovery.

R&D Gaps (1)

Current in vivo and in vitro models often fail to capture human brain function. Innovative model systems—including digital reconstructions, embodied simulations, and new biological models—are needed.