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Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

Events on November 21, 2014

Bei Wang

Bei Wang Presents:

Vector Field Visualization, Feature Tracking and Simplification based on Robustness - Reflections and Future Directions for the Study of Dynamic Systems

November 21, 2014 at 2:00pm for 1hr
Evans Conference Room, WEB 3780
Warnock Engineering Building, 3rd floor.

Abstract:

Analyzing critical points and their temporal evolutions plays a crucial role in understanding the behavior of vector fields. A key challenge is to quantify the stability of critical points: more stable points may represent more important phenomena. The topological notion of robustness is a tool which allows us to quantify rigorously the stability of each critical point. Intuitively, the robustness of a critical point is the minimum amount of perturbation necessary to cancel it within a local neighborhood, measured under an appropriate metric.

In this talk, I will give an overview on some of my recent work in studying the stability of critical points within vector fields data.
This includes: (a) a new visualization framework which enables interactive exploration of robustness of critical points for time-varying 2D vector fields;
(b) feature tracking under the notion of robustness;
(c) vector field simplification based on robustness, which provides a complementary view on flow structure compared to the traditional topological-skeleton-based approaches.
I will end my talk by discussing some future directions in the study of dynamic systems: robustness quantification with uncertainty, etc.

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