Paper
4 June 2004 Synchronized views for exploring populations of neurons
Kay A. Robbins, Igor Grinshpan, Kevin Allen, David M. Senseman
Author Affiliations +
Proceedings Volume 5295, Visualization and Data Analysis 2004; (2004) https://doi.org/10.1117/12.539224
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kay A. Robbins, Igor Grinshpan, Kevin Allen, and David M. Senseman "Synchronized views for exploring populations of neurons", Proc. SPIE 5295, Visualization and Data Analysis 2004, (4 June 2004); https://doi.org/10.1117/12.539224
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Neurons

Visualization

Data modeling

Systems modeling

Sensors

Visual process modeling

Cerebral cortex

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