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welcome to our working group on neuron dynamics

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We study a wide set of topics in mathematical neuroscience. Recent projects study signal decision making and timing in simple neural networks, correlations and reliability in "prototypical" neural circuits, point-process models in auditory coding, dynamics of phase oscillator networks with generalized symmetries, and apparent instabilities that can be created by forcing networks of bursting cells, possibly leading to a new mechanism for their desynchronization. PI: Eric Shea-Brown.

Our work is made possible by the Burroughs-Wellcome Fund, the NSF Div. Math. Sciences, the Northwest Center for Neural Engineering, the NIH (J. Goldwyn), and NSERC (G. Lajoie).

Department of Applied Mathematics, University of Washington, 414 Guggenheim Hall, Seattle, WA 98195-2420.