Dr. Jazayeri’s research focuses on understanding how dynamic patterns of neural activity in the brain and in artificial neural systems lead to the development of algorithms that support mental computations. The lab utilizes various resources with humans, animal models, and recurrent neural network models and then integrates behavioral and neural data with normative theories, computational models, and artificial neural networks to understand the building blocks of the mind. The overarching goal of this research program is to develop a comprehensive understanding of the computational principles, anatomical substrates, and neural mechanisms of sensorimotor function by elucidating the role of functional role of the ascending cerebello-thalamocortical (Cb-Th-Ctx) and basal ganglia-thalamocortical (Bg-ThCtx) pathways in forming, updating, and using internal models.