Degree: Ph.D., Neuroscience
Favorite Languages: Julia, MATLAB, C
More about Kenneth: Kenneth develops and applies statistical tools to answer questions about visual processing and decision making in the primate cortex. His work primarily focuses on characterizing spike trains recorded in the lateral intraparietal (LIP) cortex and frontal eye fields (FEF) during categorization tasks. He is interested in understanding how categorical representations in these areas depend on training history.