Output details
11 - Computer Science and Informatics
University of Plymouth
Article title
iRaster: a novel information visualization tool to explore spatiotemporal patterns in multiple spike trains.
Type
D - Journal article
Title of journal
J Neurosci Methods
Article number
-
Volume number
194
Issue number
1
First page of article
158
ISSN of journal
1872-678X
Year of publication
2010
Number of additional authors
3
Additional information
<24> A new selection of statistical procedures for visualization and flexible manipulations with simultaneously recorded spike-trains is developed. Ideas from the field of visual analytics have been applied to reveal patterns of neural activity. A key facet of this paper is that it reports new findings from the visualization of two large in-vitro experimental datasets. The visualisation method and iRaster software have been adopted as one of the open source software tools and services for the EPSRC funded CARMEN project on grid computing (eNeuroscience), which includes over 20 research labs.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
