PANDORA
Object Tabs
Database analysis and visualization of simulated and recorded electrophysiological data
Purpose
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.
Features:
- 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
See the Documentation, Wiki, and Images links on this page for more information.
License
Apache Software LicensePrerequirements
* Matlab - optional: Matlab Signal Processing Toolbox - optional: Matlab Database ToolboxEase of Use
IntermediateMaturity
StableOperating system
Any
Topics
Keywords
database 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 site
http://userwww.service.emory.edu/~cgunay/pandora/Publications
Cengiz 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.4198-07.2008Günay 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.
- Registered:
- Jul 31, 2008
- Last Modified:
- Mar 30, 2013

