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Datasets that Quantitatively Capture the Full Space of Behavior

Use rich data collection and machine learning to correlate natural behavior with neural activity in animals and humans and decipher the “grammar” and subcomponents of bodily movement.

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.