Our lab develops computational and formal models of the biological bases of cognition (computational cognitive neuroscience), focusing on specialization of function in and interactions between hippocampus, prefrontal cortex/basal ganglia, and posterior neocortex in learning, memory, attention, vision, and controlled processing. We test predictions from these models using a range of behavioral and other experimental techniques. Current models are exploring the role of predictive learning based on cortico-thalamic connectivity to bootstrap learning in vision, motor control, and goal-driven cognition.
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