icole Rust

Dr. Rust received her Ph.D in neuroscience from New York University. Before joining the faculty of the University of Pennsylvania in 2009, she conducted postdoctoral research at MIT. A central focus of her lab is to understand the mechanisms by which the brain processes visual information to achieve a particular goal, including finding a sought object or remembering whether an object has been encountered before. Her lab studies these problems by combining behavioral and neural data collection with computational modelling. Ultimately, this original approach forms an accurate yet intuitive description of what different areas of the brain do and how they achieve this.

Gaby Maimon 

Gaby Maimon is an Associate Professor at Rockefeller University, where he heads the laboratory of Integrative Brain Function. His group studies how internal variables are calculated by the the Drosophila nervous system and how these variables influence behavior. Recent work has focused on several specific neural computations. For example, his group has studied how the fly brain internally subtracts one sensory signal from a set of neurons that carry multiple related signals. His group has also been characterizing the circuit architecture for how fly brains update their internal sense of orientation when they turn left or right in the dark. These results seek to provide a detailed, circuit-level understanding of how brains internally store and update variables related to spatial orientation and navigation.

Sarah Woolley
Dr. Woolley is a neuroscientist studying the neural basis and behavior of social communication. She received her Ph.D from the University of Washington where she also conducted postoctoral research before completing her training at UC Berkeley. Since 2006 she is a member of Columbia University’s faculty. Her lab is primarily focused on how the brain forms neural representations of communication vocalizations, and how these neural representations lead to the perception of socially meaningful information. To understand how sensory signals are encoded and decoded by the brain, the Woolley lab studies songbirds, which learn to recognize, respond to and produce the complex songs of other birds.
Larry Abbott Larry Abbott is the William Bloor Professor of Theoretical Neuroscience at Columbia University and co-director of Columbia's Center for Theoretical Neuroscience.  He received his PhD in physics from Brandeis University in 1977 and worked in theoretical particle physics until 1988. His research in neuroscience involves the computational modeling and mathematical analysis of neurons and neural networks. Recent work includes studies of olfaction, modeling of motor cortex and electrosensation in electric fish, and studies of the dynamics of populations of both rate-based and spiking model neurons. He is the co-author, with Peter Dayan, of the text book Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems.