Our lab investigates the neurocomputational mechanisms of how the brain learns and extracts meaning from sensory stimuli as a gateway to understanding the neural bases of intelligent behavior.

The lab investigates the neurocomputational mechanisms underlying human object recognition and learning as a gateway to understanding the neural bases of intelligent behavior. The ability to recognize objects is a fundamental cognitive skill in every sensory modality, e.g., for friend/foe discrimination, social communication, reading, and speech perception. Amazingly, the typical human brain can efficiently learn and perform these computationally complex tasks with about three pounds of hardware running on the power of a lightbulb. Our aim is to understand how the brain accomplishes this feat.

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