@inproceedings{8fb419dcaf88462eb8ac52f8bcb7ee69,
title = "SwordPlots: Exploring neuron behavior within dynamic communities of brain networks",
abstract = "Study of the behavior of individual members in communities of dynamic networks can help neuroscientists to understand how interactions between neurons in brain networks change over time. Visualization of those temporal features is challenging, especially for networks embedded within spatial structures, such as brain networks. In this article, the authors present the design of Sword Plots, an interactive multi-view visualization system to assist neuroscientists in their exploration of dynamic brain networks from multiple perspectives. Their visualization helps neuroscientists to understand how the functional behavior of the brain changes over time, how such behaviors are related to the spatial structure of the brain, and how communities of neurons with similar functionality evolve over time. To evaluate their application, they asked neuroscientists to use SwordPlots to examine four different mouse brain data sets. Based on feedback, their visualization design can provide neuroscientists with the ability to gain new insights into the properties of dynamic brain networks.",
author = "Chihua Ma and Forbes, {Angus G.} and Llano, {Daniel A.} and Tanya Berger-Wolf and Kenyon, {Robert V.}",
year = "2016",
doi = "10.2352/ISSN.2470-1173.2016.16HVEI-134",
language = "English (US)",
series = "Human Vision and Electronic Imaging 2016, HVEI 2016",
publisher = "Society for Imaging Science and Technology",
pages = "268--280",
editor = "Pappas, {Thrasyvoulos N.} and {de Ridder}, Huib and Rogowitz, {Bernice E.}",
booktitle = "Human Vision and Electronic Imaging 2016, HVEI 2016",
address = "United States",
note = "Human Vision and Electronic Imaging 2016, HVEI 2016 ; Conference date: 14-02-2016 Through 18-02-2016",
}