Database analysis and visualization of simulated and recorded electrophysiological data
PANDORA is a Matlab Toolbox that makes database management accessible from your electrophysiology project.
See the Wiki for the news.
PANDORA works by extracting user-defined characteristics from raw neural data (e.g., voltage traces) and creating numerical database tables from them. These tables can then be subjected to further analyses, such as drug and parameter effects, statistical, correlation, and principal components. Publication-ready plots can be produced with an embedded plotting system.
- Works offline within Matlab
- Requires no external software
- Is object oriented and allows easy extensions
- Can easily tie with existing Matlab scripts
- Can query a database as in SQL
LicenseApache Software License
Prerequirements* Matlab - optional: Matlab Signal Processing Toolbox - optional: Matlab Database Toolbox
Ease of UseIntermediate
Keywordsdatabase interface, spike recognition, data formats, mysql, Neuronal Characterization, spike analysis, electrophysiology, development environment, Signal analysis, linux, neuroinformatics, event detection, OS Independent, matlab, analyze, MATLAB, data analysis, Database, Windows, neurophysiology, spike train analysis, data visualization, database, windows, computational neuroscience, spike processing, Linux,
External web sitehttp://userwww.service.emory.edu/~cgunay/pandora/
PublicationsCengiz Günay, Jeremy R. Edgerton, and Dieter Jaeger (2008) Channel Density Distributions Explain Spiking Variability in the Globus Pallidus: A Combined Physiology and Computer Simulation Database Approach. J. Neurosci. 2008 28: 7476-7491; doi:10.1523/JNEUROSCI.4198-07.2008
Günay C, Edgerton JR, Li S, Sangrey T, Prinz AA, Jaeger D (2009). Database analysis of simulated and recorded electrophysiological datasets with Pandora's toolbox. Neuroinformatics, 7(2):93-111. doi: 10.1007/s12021-009-9048-z.
- Jul 31, 2008
- Last Modified:
- Mar 30, 2013