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Jordan Taylor possesses a remarkable ability to learn new motor skills and retain memories associated with those skills throughout life, such as riding a bicycle. The ease with which he can perform these skills belies the overwhelming computational complexity involved. His research focuses on unraveling the computational processes involved in solving motor control problems. The 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 his work can lead to the development of optimal training protocols that guide learning and enhance functioning in learning mechanisms related to stroke and other diseases.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.