Back to articles
Volume: 28 | Article ID: art00051
SwordPlots: Exploring Neuron Behavior within Dynamic Communities of Brain Networks
  DOI :  10.2352/ISSN.2470-1173.2016.16.HVEI-134  Published OnlineFebruary 2016

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 SwordPlots, 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. © 2016 Society for Imaging Science and Technology. [DOI: 10.2352/J.ImagingSci.Technol.2016.60.1.010405]

Subject Areas :
Views 85
Downloads 3
 articleview.views 85
 articleview.downloads 3
  Cite this article 

Chihua Ma, Angus G Forbes, Daniel A Llano, Tanya Berger-Wolf, Robert V Kenyon, "SwordPlots: Exploring Neuron Behavior within Dynamic Communities of Brain Networksin Proc. IS&T Int’l. Symp. on Electronic Imaging: Human Vision and Electronic Imaging,  2016,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
Electronic Imaging
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA