A Framework for Scalable Parameter Estimation of Gene Circuit Models Using Structural Information March 28, 2013 2:30 p.m. Xin Gao Abstract Systematic and scalable parameter estimation is a key to construct complex gene regulatory models and to ultimately facilitate an integrative systems biology approach to quantitatively understand the molecular mechanisms underpinning gene regulation. We propose […]
Adaptive wavelets for uncertainty  quantification in dynamical systems July 19, 2012 2:30 p.m. Denis Dreano Abstract The behavior of dynamical systems is often modeled as the solution to a system of differential equations. Most of the time, the parameters such as the initial conditions, the boundary conditions, the physical constants or the geometry are not […]
Scalable, Incremental Learning with MapReduce Parallelization for Cell Detection in High-Resolution 3D May 2, 2013 2:30 p.m. Chul Sung Abstract Accurate estimation of neuronal count and distribution is central to the understanding of the organization and layout of cortical maps in the brain, and changes in the cell population induced by brain disorders. High-throughput 3D […]
Visual Cortical Response Power Law and Perceptual Thresholding October 4, 2012 2:30 p.m. Yoonsuck Choe Abstract In this talk, I will talk about the relationship between visual perceptual threshold for edge detection and the power law property in visual cortical response distribution. The bottom line is that perceptual threshold determined by human participants are strongly […]
The Effect of a Surface Tension on the Stress Field near a Curvilinear Crack March 22, 2012 2:30 p.m. Anna Zemlyanova Abstract A thin plate with a curvilinear crack under the action of in-plane stresses is considered. A linear elasticity model is assumed to model the behavior of the material of the plate in the […]