| Sponsor: | National Science Foundation (NSF) | |||
| Grant Number: | ACI-9721348 | |||
| Period: | 1998 - 2003 | |||
| Amount: | $134,608 | |||
| PI: |
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| The objectives of this project are to develop practical tools for online analysis and visualization of experimental video data that should be applicable in both research and teaching laboratories. The system will have a familiar web-based interface, promote collaborative visualization and remote access and take advantage of distributed computing resources to attain near-realtime performance. The system will be particularly oriented towards the seamless acquisition of video data in order to detect transitions during the running of experiments. Fast display techniques and spatial Karhunen-Loeve reconstructions will be among the techniques implemented to allow experimentalists to map out bifurcation structure as experimental parameters are changed. |
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Combustion and pattern formation Distributed neural processing Davis data viewing system Data acquisition in Antarctica Smarts project Waves |
| Kevin Allen | (undergraduate) | ||
| Robert Baltimore | (graduate) | ||
| Fernando Cano | (undergraduate) | ||
| Laura Connor | (graduate) | ||
| Daniel Espinoza | (undergraduate) | ||
| Todd Fichtemaier | (graduate) | ||
| Igor Grinshpan | (graduate) | ||
| Andrew Hudson | (undergraduate) | ||
| Raymond Hunley | (graduate) | ||
| Jason Johnson | (undergraduate) | ||
| Lea Leite | (undergraduate) | ||
| Mark Robinson | (graduate) | ||
| Brent Shumaker | (graduate) | ||
| Jeremy Stevens | (undergraduate) | ||
| Keyin Tu | (graduate) | ||
| Zheng Zhi | (graduate) |
| Donald D. Blankenship | Web | (SOAR, UT Austin) | |
| Bijoy Ghosh | Web | (Washington University St. Louis) | |
| Michael Gorman | Web | (University of Houston) | |
| David Senseman | Web | (Department of Biology UTSA) | |
| Philip Ulinski, | Web | (University of Chicago) |
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Synchronized views for exploring populations of neurons
Using derivatives to compare cortical waves across preparations
High-speed VSD imaging of visually evoked cortical waves: Decomposition into intra- and intercortical wave motions
Visualizing splitting and merging processes
Fast Visualization Methods for Comparing Dynamics: A Case Study in Combustion
Using Process-Level Packet Routing to Support Real-time Data Visualization: A Case Study in Antarctica
Modal behavior of cortical neural networks during visual processing.
Visualization of scientific video data using KL decomposition
Visualizing differences in movies of cortical activity |
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Linear Data Decomposition Methods for Forced Non-Linear Spatio-temporal Systems: PCA Versus ICA
Real-time Airborne Dataq Visualization under QNX: Performance Evaluation of a Geophysical Application in Antartica
Computer Techniques and Algorithms for the Detection of Heteroclinic Connections in Experimental Data |
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Exploring behavior of neuronal populations with Davis
Dynamical systems analysis of propagating waves in turtle visual cortex
Extraction of wave structure from biological data
Exploring behavior of neuronal populations with Davis
Dynamic analysis of propagating waves generated by the cholinergic theta oscillator in rat neocortex: KL decomposition of high-speed VSD movies
Dynamics of propagating cortical waves in vitro and in silico
Visualizing neuronal models for exploration
Comparison of cerebellar activation by afferent and direct electrical stimulation using high-speed VSD imaging
Using derivatives to compare cortical waves across preparations
Modal analysis of excitatory waves in the visual cortex
Localization and characterization of entorhinal theta band oscillators by KL Decomposition of VSD movie
Modal structure of the cortical response to moving and non-moving stimuli in the intact turtle brain
Anisotropic spread of depolarization between visual cortical areas provides a physical basis for the modal structure of coherent activity
Visual interpretation of transitions in spatiotemporal systems
Characterization of three intrinsic modes of visually-driven cortical activation |