Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
Data clustering analysis in a multidimensional space
Information Sciences: an International Journal
Guidelines for using multiple views in information visualization
AVI '00 Proceedings of the working conference on Advanced visual interfaces
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
On Encouraging Multiple Views for Visualisation
IV '98 Proceedings of the International Conference on Information Visualisation
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
A Helix Metaphor for Customer Behaviour Visualisation
IV '01 Proceedings of the Fifth International Conference on Information Visualisation
Spike Train Correlation Visualization
IV '03 Proceedings of the Seventh International Conference on Information Visualization
Parallel coordinates: a tool for visualizing multi-dimensional geometry
VIS '90 Proceedings of the 1st conference on Visualization '90
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Currently, the focus of research within Information Visualization is steering towards genomic data visualization due to the level of activity that the Human Genome Project has generated. However, the Human Brain project, renowned within Neuroinformatics, is equally challenging and exciting. Its main aim is to increase current understanding of brain function such as memory, learning, attention, emotions and consciousness. It is understood that this task will require the 'integration of information from the level of the gene to the level of behaviour'. The work presented in this paper focuses on the visualization of neural data. More specifically, the data being analysed is multi-dimensional spike train data. Traditional methods, such as the 'raster plot' and the 'cross-correlogram', are still useful but they do not scale up for larger assemblies of neurons. In this paper, a new innovative method called the Tunnel is defined. Its design is based on the principles of Information Visualization; overview the data, zoom and filter data, data details on demand. The features of this visualization environment are described. This includes data filtering, navigation and a 'flat map' overview facility. Additionally, a 'coincidence overlay map' is presented. This map washes the Tunnel with colour, which encodes the coincidence of spikes.