Dr. Dunn is a Forge Scholar and neuroscience researcher specializing in machine learning, particularly deep convolutional neural networks. His work has focused on how the brain controls behavior. Using original experimental techniques, fast whole brain imaging of neural activity, and high-speed monitoring of behavior in response to closed-loop visual stimuli in zebrafish, he was able to uncover the neural circuits underlying both visually guided and spontaneous swimming behaviors.
His current post doctoral research targets the new computational and theoretical challenges confronting systems neuroscientists. Using deep convolutional neural networks, Dr. Dunn researches visual systems to infer the functional connectivity of neurons based only on optical measurements of neural activity.
Current Research Interests
Deep convolutional neural networks
Current Appointments & Affiliations
Exhibitions, Screenings, & Performances
Some information on this profile has been compiled automatically from Duke databases and external sources. (Our About page explains how this works.) If you see a problem with the information, please write to Scholars@Duke and let us know. We will reply promptly.