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Jordan Taylor possesses a remarkable ability to learn new motor skills and retain memories of those skills throughout life, such as riding a bicycle. The ease with which he performs these skills belies the overwhelming computational complexity involved. His research focuses on unraveling the computational processes that are involved in solving the motor control problem. A primary area of his research aims to understand how explicit cognitive strategies interact with implicit motor adaptation during skill acquisition. Specifically, he investigates how novel movement strategies arise and the functional consequences of the interaction between learning and the respective neural systems. Ultimately, he hopes that his work can lead to the development of optimal training protocols aimed at guiding learning and improving the functioning of learning mechanisms, particularly in the context of stroke and disease.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.