uses experimentation and modeling to uncover the neural computations underlying complex cognition in health and disease
All in Computational
uses experimentation and modeling to uncover the neural computations underlying complex cognition in health and disease
studies how the brain gives rise to natural behaviors using computational tools
studies how the brain makes predictions and adapts to novel or uncertain environments, and how these mechanism are altered by mental illness
studies how visual information is encoded in neurons and used to guide behavior
studies how abstract cognitive variables underlie learning, memory, and decision-making
studies strategies for representing sensorimotor information that support efficient circuit computations and guide flexible behavior
develops technologies that help with rehabilitation in disorders that affect the motor system
studies visual computation and the neural representations of behavioral states
uses information theory to understand how neural circuits encode sensory information
studies how we unconsciously learn from the environment
studies how the brain controls movement through the combination of engineering and neuroscience
studies how cell biophysics and network dynamics interact to mediate spatial memory and navigation
creates data-inspired neural networks to model and study the visual cortex
studies information processing algorithms underlying neural interactions
studies the neural mechanisms of learning and memory
uses computational methods to study the neural correlates of observational learning