Kao Lab

Machine learning and statistics for neuroscience

Deep learning

Brain-machine interfacesPermalink

“Our research group studies questions at the intersection of neuroscience and computation. In particular, we develop and apply statistical signal processing and machine learning techniques to elucidate how populations of neurons carry out computations in the brain. We also develop experimental and algorithmic techniques for neural engineering applications, including brain-machine interfaces.”

Learning rule influences recurrent network representations but not attractor structure in decision-making tasks., McMahan B, Kleinman M, Kao JC

A mechanistic multi-area recurrent network model of decision-making Kleinman M, Chandrasekaran C*, Kao JC*