Eric Shea-Brown

Winter, 2011:

AMATH 402/502: Introduction to Dynamical Systems and Chaos

AMATH 422/522: Computational Models in Biology

Eric studied engineering physics at UC-Berkeley and worked at the Lawrence Livermore National Laboratory. In 2004, he completed his Ph.D in Princeton's Program in Applied and Computational Mathematics, working with Profs. Phil Holmes and Jonathan Cohen. His thesis work was on neural dynamics and cognitive control.

Before coming to UW, he was a postdoctoral fellow in mathematical neuroscience at NYU's Courant Institute and Center for Neural Science with Prof. John Rinzel as mentor.

Eric's interests span a wide set of topics in mathematical neuroscience and biological dynamics. Recent work focuses on optimal signal processing and decision making in simple neural networks, dynamics of neural populations in interval timing tasks, correlations and reliability in simple neural circuits, and properties of oscillator networks with generalized symmetries. This work is supported by the Burroughs-Wellcome Fund (BWF) Scientific Interfaces Program, the NSF, and the Pacific Northwest Center for Neural Engineering.