Byron Yu | Dimensionality Reduction of Large-Scale Neural Recordings during Sensorimotor Control
Most sensory, cognitive, and motor functions rely on the interaction among many neurons. To analyze the activity of many neurons together, many groups are now adopting advanced statistical methods, such as dimensionality reduction. In this talk, I will first describe how dimensionality reduction can be used in a closed-loop experimental setting to understand how learning is shaped by the underlying neural circuitry. Then, I will describe a novel latent variable model that extracts a subject's internal model during sensorimotor control. NEUROSCIENCE WORKSHOP: Dimensionality Reduction Friday, October 30, 2015 Saturday, October 31, 2015