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Proceedings Paper

Synchronized views for exploring populations of neurons
Author(s): Kay A. Robbins; Igor Grinshpan; Kevin Allen; David M. Senseman
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Paper Abstract

Davis (Data Viewing System) is a general-purpose data viewer designed for the simultaneous display of a large number of dynamic data sets. Davis was inspired by the need to explore computational models of the cerebral cortex. These systems are distinguished by complex dynamic elements interconnected in irregular patterns. Neuroscientists study the detailed behavior of individual elements and how these elements interact to achieve cortical function. This paper describes Davis and its use in cortical visualization. Davis is written in Java and can be run from a browser or as a standalone application. Users must provide an XML description of their data, which Davis uses for its menus, browsing and visualization. Davis visualizations can be applied to any collection of space-time data sets, and the Davis infrastructure allows visualizations to be added easily. Davis handles the synchronization of different visualizations and encapsulates different threading policies.

Paper Details

Date Published: 4 June 2004
PDF: 11 pages
Proc. SPIE 5295, Visualization and Data Analysis 2004, (4 June 2004); doi: 10.1117/12.539224
Show Author Affiliations
Kay A. Robbins, Univ. of Texas/San Antonio (United States)
Igor Grinshpan, Univ. of Texas/San Antonio (United States)
Kevin Allen, Univ. of Texas/San Antonio (United States)
David M. Senseman, Univ. of Texas/San Antonio (United States)

Published in SPIE Proceedings Vol. 5295:
Visualization and Data Analysis 2004
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Matti T. Gröhn; Katy Börner, Editor(s)

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