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==Synopsis==
==Synopsis==


 
The P300 Classifier GUI (Graphical User Interface) is a tool that allows to train and test a linear classifier for detection of evoked related potentials collected with BCI2000. This GUI is designed for the analysis of BCI2000 data collected using the P3Speller or P3AV paradigms. The program generates feature weights derived via the Stepwise Linear Regression technique. The specifics of the feature space and training routine can be manipulated using the GUI. The feature weights derived from the GUI can be saved and imported into BCI2000 as a parameter file fragment for online testing. The GUI provides the following functionality to investigators:
The P300 Classifier GUI (Graphical User Interface) is a tool that allows to train and test a linear classifier for detection of evoked potentials collected with BCI2000. This GUI is designed for analysis of BCI2000 data collected using the P3Speller or P3AV paradigms. The program generates feature weights derived via the Stepwise Linear Regression technique. The specifics of the feature space and training routine can be manipulated using the GUI. The feature weights by the GUI can be saved and imported into BCI2000 as a parameter file fragment for online testing.


; Classifier Training: Generates feature weights from BCI2000 P3Speller or P3AV data files  
; Classifier Training: Generates feature weights from BCI2000 P3Speller or P3AV data files  


; Classifier Testing: Applies current feature weights to BCI2000 P3Speller or P3AV data files and compares the results
; Classifier Testing: Applies current feature weights to BCI2000 P3Speller or P3AV data files and compares the results


==Location==
==Location==
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*Broken since: --
*Broken since: --


==Parameters==
==Control Panel==
 
The P300 Classifier GUI is composed of three panels: Data, Parameters, and Details. 
 


==Methodology==
==Methodology==

Revision as of 15:10, 17 August 2009

Synopsis

The P300 Classifier GUI (Graphical User Interface) is a tool that allows to train and test a linear classifier for detection of evoked related potentials collected with BCI2000. This GUI is designed for the analysis of BCI2000 data collected using the P3Speller or P3AV paradigms. The program generates feature weights derived via the Stepwise Linear Regression technique. The specifics of the feature space and training routine can be manipulated using the GUI. The feature weights derived from the GUI can be saved and imported into BCI2000 as a parameter file fragment for online testing. The GUI provides the following functionality to investigators:

Classifier Training
Generates feature weights from BCI2000 P3Speller or P3AV data files
Classifier Testing
Applies current feature weights to BCI2000 P3Speller or P3AV data files and compares the results


Location

http://www.bci2000.org/svn/trunk/src/private/Tools/P300_classifier

Versioning

Author

Cristhian Potes

Source Code Revisions

  • Initial development: --
  • Tested under: --
  • Known to compile under: --
  • Broken since: --

Control Panel

The P300 Classifier GUI is composed of three panels: Data, Parameters, and Details.


Methodology

Methodology Concept

Methodology Outline

Methodology Step By Step

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Step 2: ...

Tutorial

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See also