The Kreiman laboratory focuses on elucidating the neural circuits and computational mechanisms underlying visual intelligence. The lab combines invasive neurophysiological recordings in the human brain, behavioral experiments and computational modeling to understand the neuronal circuits, algorithms and computations performed by the visual system. Examples of recent investigations include deciphering the algorithms to make inferences from partial information (pattern completion), transformation-invariant mechanism for visual recognition, decision-making, reinforcement learning, and the formation of episodic memories.

These research efforts will help alleviate prevalent cognitive disorders, which afflict millions and have proven resilient to other approaches. Furthermore, these efforts will help develop biophysically-inspired computational approaches to artificial intelligence.