How does the brain extract relevant visual features from the rich, dynamic visual input that typifies active exploration, and how does the neural representation of these features support visual navigation?
Emily is a PhD student in the Dynamical Neuroscience (DYNS) program at UC Santa Barbara and is currently rotating in the Bionic Vision Lab. She previously worked with EM connectomics datasets at Janelia and at the Allen Institute, where she conducted research in cell typing and neural circuitry. During this time, she also developed open-source tools to analyze neuronal morphology and connectivity.
Emily is interested in the intricate circuitry of visual systems and how its pieces are organized to create the sense of vision. She is also eager to apply insights from animal models to help recreate vision in humans when parts of the circuitry are no longer functioning.
BA in Neuroscience, 2018
Scripps College
How does the brain extract relevant visual features from the rich, dynamic visual input that typifies active exploration, and how does the neural representation of these features support visual navigation?