P300 GUI Guide - Revision history

Dgolebiewski: /* The GUI Control Panel */

2012-07-27T08:31:25Z

The GUI Control Panel

← Older revision		Revision as of 08:31, 27 July 2012
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	{\|		{\|
	\|-valign="top"		\|-valign="top"
	\|<span style="color: red">[19]</span>\|\|<u>Add Test files</u> Button Use this button to load BCI2000 data files for testing of the feature weights. Multiple groupings of test files can be added for comparison.		\|<span style="color: red">[19]</span>\|\|<u>Add Test files</u> Button Use this button to load BCI2000 data files for testing of the feature weights. Multiple groupings of test files can be added for comparison. ''''Important: If you select several test files, the resulting curves will be averaged over the number of all datapoints. You arrive only at an classification metric for the whole set.''''
	\|-		\|-
	\|height=10px\|		\|height=10px\|
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	\|height=10px\|		\|height=10px\|
	\|}		\|}



	===Training a Classifier===		===Training a Classifier===

Jhill at 18:39, 30 January 2012

2012-01-30T18:39:36Z

← Older revision		Revision as of 18:39, 30 January 2012
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			==Note==
			This page talks about the Matlab-based P300GUI tool, which is now outdated, as of BCI2000 v3.0. It is still available at
			http://{{SERVERNAME}}/svn/tags/BCI2000.v2.1/src/contrib/Tools/P300GUI
			but is no longer under development. It has been superseded by the standalone [[User Reference:P300Classifier\|P300Classifier tool]], which is part of the BCI2000 core distribution. There are minor differences between the two user interfaces.

	==Introduction==		==Introduction==

Sbriskin: /* Release Notes */

2009-01-14T20:14:39Z

Release Notes

← Older revision		Revision as of 20:14, 14 January 2009
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	==Release Notes==		==Release Notes==
	V2.0 09/30/05		V2.0 09/30/05
	Original Release		:Original Release

	V2.01 11/07/05		V2.01 11/07/05
	Added 8 channel P300 montage		:Added 8 channel P300 montage

	V2.02 12/15/05		V2.02 12/15/05
	Now able to plot averages with unequal numbers of sequences for testing		:Now able to plot averages with unequal numbers of sequences for testing
	Added channel number checks		:Added channel number checks

	V2.03 12/21/05		V2.03 12/21/05
	Changed to standard default analysis settings		:Changed to standard default analysis settings
	Made compatible with floating point (32) data		:Made compatible with floating point (32) data

	V2.04 12/23/05		V2.04 12/23/05
	Added warning for unequal train and test sampling rates		:Added warning for unequal train and test sampling rates
	Corrected target definition to be printed character		:Corrected target definition to be printed character
	Added classification of spaces (_) and printing of backspaces (<)		:Added classification of spaces (_) and printing of backspaces (<)
	Updated to read latest BCI2000 header		:Updated to read latest BCI2000 header

	V2.05 02/13/06		V2.05 02/13/06
	Now compatible with new target definition matrix		:Now compatible with new target definition matrix

	V2.051 02/17/06		V2.051 02/17/06
	Added fix for German characters - umlaut characters classified as standard characters		:Added fix for German characters - umlaut characters classified as standard characters

	V2.052 02/21/06		V2.052 02/21/06
	Made data loading more memory efficient		:Made data loading more memory efficient

	V2.06 02/22/06		V2.06 02/22/06
	Added variable response window start point		:Added variable response window start point
	Implemented new function to load BCI2000 data		:Implemented new function to load BCI2000 data
	Resized plot windows		:Resized plot windows

	V2.061 03/14/06		V2.061 03/14/06
	Corrected classification for non-square matrices		:Corrected classification for non-square matrices
	Changed to save MUD prior to training classification		:Changed to save MUD prior to training classification

	V2.07 03/15/06		V2.07 03/15/06
	Created a button to generate and save a BCI2000 parameter file fragment based on the selected MUD matrix		:Created a button to generate and save a BCI2000 parameter file fragment based on the selected MUD matrix

	V2.08 03/30/06		V2.08 03/30/06
	Added Least Squares and Logistic Regression options		:Added Least Squares and Logistic Regression options
	Fixed problem with *.prm Software Chs.		:Fixed problem with *.prm Software Chs.
	Removed MA window from interface (now uses same values as DF)		:Removed MA window from interface (now uses same values as DF)

	V2.09 04/12/06		V2.09 04/12/06
	Changed to compare row/column results rather than “Text to Spell’		:Changed to compare row/column results rather than “Text to Spell’
	Encoded Online (“Free spelling”) data, assuming that the selected character is the target.		:Encoded Online (“Free spelling”) data, assuming that the selected character is the target.

	<b>BCI2000 v2.0 Release</b>		<b>BCI2000 v2.0 Release</b>

	02/06/08		02/06/08
	Updated to be compatible and fully functional with BCI2000 v2.0 P3Speller data, and backward compatible with previous versions. This version has not been verified with P3AV data.		:Updated to be compatible and fully functional with BCI2000 v2.0 P3Speller data, and backward compatible with previous versions. This version has not been verified with P3AV data.
	Symbol rate figure replaces the percent correct ribbon figure.		:Symbol rate figure replaces the percent correct ribbon figure.
	Fixed CAR filter generation.		:Fixed CAR filter generation.



	==Contact/Credit==		==Contact/Credit==

Sbriskin at 20:09, 14 January 2009

2009-01-14T20:09:55Z

@@ Line 195: / Line 195: @@
 #Enter a prefix that will be appended to the MUD files (for identification purposes) in the ‘''File Prefix''’ <span style="color:red">[15]</span> window.
 #Enter the corresponding MUD file number(s) of the selected files in the ‘''File #'s to Save''’ <span style="color:red">[16]</span> window and press Enter.
-#Press the ‘''Save *.mud''‘ <span style="color:red">[17]</span> or ‘''Save *.prm''‘ <span style="color:red">[18]</span> button depending on the desired file type.  The selected MUD files will be saved in the training data directory with a *.mud or a *.prm extension for later use.  The files can be identified later by the name, for example:
+#Press the ‘''Save *.mud''‘ <span style="color:red">[17]</span> or ‘''Save *.prm''‘ <span style="color:red">[18]</span> button depending on the desired file type.  The selected MUD files will be saved in the training data directory with a *.mud or a *.prm extension for later use.  The files can be identified later by the name, for example, <tt>SessionA_ChS1CAR0DF20BPF0SW.mud</tt> and <tt>SessionA_ChS1CAR0DF20BPF0SW.prm</tt> In these names, 'SessionA_' is the chosen prefix, ChS1 indicates Channel Set 1, the value following CAR indicates whether a common average reference was used (0 no CAR used, 1 CAR used), the value following DF indicates the decimation factor, value following RS indicates the random sample value, and the final two characters indicate the regression method (SW: SWLDA, LS: least squares, or LG: logistic).
 #See the BCI2000 documentation for instructions on how to load a *.prm fragment into a BCI2000 P3Speller or P3AV parameter file.
@@ Line 221: / Line 218: @@
 ==Troubleshooting==
 ==References==
 ==Release Notes==
 ==Contact/Credit==

Sbriskin at 20:05, 14 January 2009

2009-01-14T20:05:51Z

← Older revision		Revision as of 20:05, 14 January 2009
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	Saving Classifier Weights		===Saving Classifier Weights===

	The 'Feature Weights' panel on the left of the GUI contains all of the controls for saving selected feature weights listed in the current pane for future use. The weights can be save as either .mud or .prm:		The ’''Feature Weights''’ panel on the left of the GUI contains all of the controls for saving selected feature weights listed in the current pane for future use. The weights can be save as either .mud or .prm:

	*.mud files are used solely for the purposes of the GUI to evaluate feature weights generated from prior sessions in the GUI.		*.mud files are used solely for the purposes of the GUI to evaluate feature weights generated from prior sessions in the GUI.

	.prm files are BCI2000 parameter file fragments that can be imported into BCI2000 for online testing of the feature weights. Important: Only the BCI2000 parameters regarding the MUD weights, channels, and spatial filter are changed when the .prm fragment is imported into BCI2000, be sure to verify the BCI2000 parameters before conducting an online session!!! The specific parameters that are updated in the fragment are: MUD (feature weights), NumSamplesInERP(length of classified response in samples), SoftwareCh(# of total recording channels), SpatialFilteredChannels(channels that are included in the spatial filter), SpatialFilterKernel(weights for the spatial filter channels), and TransmitChList(channels that are used for classification).		.prm files are BCI2000 parameter file fragments that can be imported into BCI2000 for online testing of the feature weights. '''''Important: Only the BCI2000 parameters regarding the MUD weights, channels, and spatial filter are changed when the .prm fragment is imported into BCI2000, be sure to verify the BCI2000 parameters before conducting an online session!!! The specific parameters that are updated in the fragment are: MUD (feature weights), NumSamplesInERP(length of classified response in samples), SoftwareCh(# of total recording channels), SpatialFilteredChannels(channels that are included in the spatial filter), SpatialFilterKernel(weights for the spatial filter channels), and TransmitChList(channels that are used for classification).'''''

	Note: prm files can be generated from .mud files but .mud file cannot be generated from .prm files. It is recommended to save .mud in addition to the .prm for future analysis.		''Note: prm files can be generated from .mud files but .mud file cannot be generated from .prm files. It is recommended to save .mud in addition to the .prm for future analysis.''

	To save one or more of the current feature weight files as a .mud or .prm file:		To save one or more of the current feature weight files as a .mud or .prm file:

	1) Enter a prefix that will be appended to the MUD files (for identification purposes) in the ~~‘File Prefix’~~ [15] window.		#Enter a prefix that will be appended to the MUD files (for identification purposes) in the ‘''File Prefix''’ <span style="color:red">[15]</span> window.
			#Enter the corresponding MUD file number(s) of the selected files in the ‘''File #'s to Save''’ <span style="color:red">[16]</span> window and press Enter.
			#Press the ‘''Save .mud''‘ <span style="color:red">[17]</span> or ‘''Save .prm''‘ <span style="color:red">[18]</span> button depending on the desired file type. The selected MUD files will be saved in the training data directory with a .mud or a .prm extension for later use. The files can be identified later by the name, for example:
			#::SessionA_ChS1CAR0DF20BPF0SW.mud
			#::SessionA_ChS1CAR0DF20BPF0SW.prm
			#:In these names, 'SessionA_' is the chosen prefix, ChS1 indicates Channel Set 1, the value following CAR indicates whether a common average reference was used (0 no CAR used, 1 CAR used), the value following DF indicates the decimation factor, value following RS indicates the random sample value, and the final two characters indicate the regression method (SW: SWLDA, LS: least squares, or LG: logistic).
			#See the BCI2000 documentation for instructions on how to load a *.prm fragment into a BCI2000 P3Speller or P3AV parameter file.

	~~2) Enter the corresponding MUD file number(s) of the selected files in the 'File #'s to Save’ [16] window and press Enter.~~

	3) Press the 'Save .mud' [17] or 'Save .prm' [18] button depending on the desired file type. The selected MUD files will be saved in the training data directory with a .mud or a .prm extension for later use. The files can be identified later by the name, for example:

	~~SessionA_ChS1CAR0DF20BPF0SW.mud~~
	~~SessionA_ChS1CAR0DF20BPF0SW.prm~~

	where 'SessionA_' is the chosen prefix, ChS1 indicates Channel Set 1, the value following CAR indicates whether a common average reference was used (0 no CAR used, 1 CAR used), the value following DF indicates the decimation factor, value following RS indicates the random sample value, and the final two characters indicate the regression method (SW: SWLDA, LS: least squares, or LG: logistic).

	~~4) See the BCI2000 documentation for instructions on how to load a *.prm fragment into a BCI2000 P3Speller or P3AV parameter file.~~



	===Visualizing data===		===Visualizing data===

	Topographies, waveforms, and r2 plots can be generated independently of the other functions using the GUI as follows:		Topographies, waveforms, and r2 plots can be generated independently of the other functions using the GUI as follows:

	1) Press the 'Select Training Data' [1] button in the 'Training Data' panel.		#Press the ‘''Select Training Data''‘ <span style="color:red">[1]</span> button in the ‘''Training Data''‘ panel.
			#From the dialog box, select the desired BCI2000 *.dat file(s) for visualizing.<i>
	2) From the dialog box, select the desired BCI2000 *.dat file(s) for visualizing.		#;Notes:
			#Default 16, 32, and 64 channel montages are provided. '''The electrode montage files (eloc.txt - see EEGLab [1]) may need to be edited to match different montages.'''
	Notes:		#*Selected files can be from different sessions, but must use the same electrode montage and sampling rate to produce valid plots.
	- Default 16, 32, and 64 channel montages are provided. The electrode montage files (eloc*.txt - see EEGLab [1]) may need to be edited to match different montages.		#*Files can only be selected from a single directory, the desired files should be organized into the same directory prior to using this function. </i>
	- Selected files can be from different sessions, but must use the same electrode montage and sampling rate to produce valid plots.		#Select the desired window size <span style="color:red">[3]</span> and spatial filter <span style="color:red">[5]</span> from the drop-down menu in the ‘''Training Data''‘ panel. The ‘''Raw & CAR''‘ option will visualize the RAW data only! The other options will not effect the visualization.
	- Files can only be selected from a single directory, the desired files should be organized into the same directory prior to using this function.		#Press the ‘''Create R^2 Plots''‘ <span style="color:red">[12]</span> button. When the processing is complete, an interactive figure will appear displaying the R^2 of the channels verses time (see bottom left). Left-click on the figure to display a plot of the waveform and topography at the specified channel/time location (see bottom right). Repeat to generate additional plots and right-click to finish and exit the interactive plotting mode.

	3) Select the desired window size [3] and spatial filter [5] from the drop-down menu in the 'Training Data' panel. The 'Raw & CAR' option will visualize the RAW data only! The other options will not effect the visualization.

	4) Press the 'Create R^2 Plots' [12] button. When the processing is complete, an interactive figure will appear displaying the R^2 of the channels verses time (see bottom left). Left-click on the figure to display a plot of the waveform and topography at the specified channel/time location (see bottom right). Repeat to generate additional plots and right-click to finish and exit the interactive plotting mode.

	[[Image:Visualizing_the_Data.png]]		[[Image:Visualizing_the_Data.png]]

Sbriskin at 19:54, 14 January 2009

2009-01-14T19:54:14Z

← Older revision		Revision as of 19:54, 14 January 2009
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	#:[[Image:Launch_GUI.png]]		#:[[Image:Launch_GUI.png]]
	#From the Matlab command window, type P300_GUI and press Enter. The P300_GUI control panel will appear.		#From the Matlab command window, type P300_GUI and press Enter. The P300_GUI control panel will appear.
	#:[[Image:GUI_Control_Panel.png\|<div align="center"><b>Figure 1: The GUI Control Panel</b><br /><span style="color: red">[#'s]</span> correspond to subsequent descriptions of function</div>]]

			====The GUI Control Panel====
			[[Image:GUI_Control_Panel.png\|frame\|center\|<div align="center"><b>Figure 1: The GUI Control Panel</b><br /><span style="color: red">[#'s]</span> correspond to subsequent descriptions of function</div>]]


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	~~'''~~Training a Classifier~~'''~~		===Training a Classifier===

	The ' ''Training Data'' ' panel on the left of the GUI contains all of the parameters for generating SWLDA classifier weights from BCI2000 data files.		The ' ''Training Data'' ' panel on the left of the GUI contains all of the parameters for generating SWLDA classifier weights from BCI2000 data files.
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	To generate SWLDA weights:		To generate SWLDA weights:

	#Press the ' ''Select Training Data'' ' <span style="color: red">[1]</span> button in the ' ''Training Data'' ' panel.		#Press the ’''Select Training Data''’ <span style="color: red">[1]</span> button in the ’''Training Data''’ panel.
	#From the dialog box, select the desired BCI2000 P300 *.dat file(s) for training.<i>		#From the dialog box, select the desired BCI2000 P300 *.dat file(s) for training.<i>
	#:;Notes:		#:;Notes:
	#:*Selected files can be from different sessions of the same paradigm but must contain consistent parameters for proper execution and classification results. If the parameters are not consistent, Matlab may report an error during classification but the generated weights are likely still valid and can be tested because they are merely based on target/standard responses, not the characteristics of the stimuli.		#:*Selected files can be from different sessions of the same paradigm but must contain consistent parameters for proper execution and classification results. If the parameters are not consistent, Matlab may report an error during classification but the generated weights are likely still valid and can be tested because they are merely based on target/standard responses, not the characteristics of the stimuli.
	#:*Files can only be selected from a single directory, the desired training files should be organized into the same directory prior to using this function.</i>		#:*Files can only be selected from a single directory, the desired training files should be organized into the same directory prior to using this function.</i>
	#After all of the parameters are set as desired (see ''The GUI Control Panel'' section for details), press the ' ''Generate Feature Weights'' ' <span style="color:red">[11]</span> button to perform the analysis. For each combination of parameters, the classification results will appear in the command window as they are generated. If the program was unable to generate a useable weight set for the data, this will also be indicated in the command window. When the analysis is completed, each set of MUD weights generated based on the different parameter combinations will appear in the ' ''MUD files'' ' pane and plots summarizing the results for each combination of set of MUD weights will appear (see Results Display section).		#After all of the parameters are set as desired (see ''The GUI Control Panel'' section for details), press the ’''Generate Feature Weights''’ <span style="color:red">[11]</span> button to perform the analysis. For each combination of parameters, the classification results will appear in the command window as they are generated. If the program was unable to generate a useable weight set for the data, this will also be indicated in the command window. When the analysis is completed, each set of MUD weights generated based on the different parameter combinations will appear in the ’''MUD files''’ pane and plots summarizing the results for each combination of set of MUD weights will appear (see Results Display section).
	#The training procedure can be repeated multiple times with new MUD weights being appended to the current list in the ' ''MUD Files'' ' Pane.		#The training procedure can be repeated multiple times with new MUD weights being appended to the current list in the ’''MUD Files''’ Pane.
	#After training is completed and MUD weights are generated, it is recommended to test (cross validate) the MUD weights on independent data before saving. See the ''Testing a Classifier'' section for details on testing the MUD weights on independent data files. The weight files can now be saved (see ''Saving Classifier Weights'' section for details).		#After training is completed and MUD weights are generated, it is recommended to test (cross validate) the MUD weights on independent data before saving. See the ''Testing a Classifier'' section for details on testing the MUD weights on independent data files. The weight files can now be saved (see ''Saving Classifier Weights'' section for details).



	~~'''~~Testing a Classifier~~'''~~		===Testing a Classifier===

	The ' ''Test Data'' ' panel on the left of the GUI contains all of the controls for testing currently or previously created MUD weights to one or more BCI2000 test files		The ’''Test Data''’ panel on the left of the GUI contains all of the controls for testing currently or previously created MUD weights to one or more BCI2000 test files

	To apply weights to test files:		To apply weights to test files:

	#In the ' ''MUD files'' ' panel, if no weights have been generated in the current session or additional weights are to be evaluated, press the ' ''Add .mud files'' ' <span style="color:red">[13]</span> button to add a single MUD file or generate new weights (see ‘ ''Training a Classifier'' ’ section for details). Repeat until all desired MUD files are loaded. All MUD files must have the same sampling rate and electrode montage. All currently loaded files can be cleared from the current session using the ' ''Clear All .mud Files'' ' <span style="color:red">[14]</span> button. Be sure to save any desired unsaved MUD files from a current session before clearing. All of the MUD files listed in the ' ''Feature Weights'' ' panel will be applied to the test data.		#In the ’''MUD files''’ panel, if no weights have been generated in the current session or additional weights are to be evaluated, press the ’''Add .mud files''’ <span style="color:red">[13]</span> button to add a single MUD file or generate new weights (see ‘''Training a Classifier''’ section for details). Repeat until all desired MUD files are loaded. All MUD files must have the same sampling rate and electrode montage. All currently loaded files can be cleared from the current session using the ’''Clear All .mud Files''’ <span style="color:red">[14]</span> button. Be sure to save any desired unsaved MUD files from a current session before clearing. All of the MUD files listed in the ’''Feature Weights''’ panel will be applied to the test data.
	#In the ' ''Test Data'' ' panel, press the ' ''Add Test Data'' ' <span style="color:red">[19]</span> button to add test files. One or more BCI2000 *.dat files can be selected from the same directory as a single 'test file group' each time the button is pressed. Repeat until all desired test file groups are loaded. All files selected should have the same sampling rate and electrode montage as the selected MUD files for valid classification. All currently loaded files can be cleared from the current session using the ' ''Clear All Test Files'' ' <span style="color:red">[20]</span> button. All of the MUD files listed in the ' ''MUD files'' ' panel will be applied to each ' ''test file group'' ' listed in the 'Test Data' panel.		#In the ’''Test Data''’ panel, press the ’''Add Test Data''’ <span style="color:red">[19]</span> button to add test files. One or more BCI2000 *.dat files can be selected from the same directory as a single 'test file group' each time the button is pressed. Repeat until all desired test file groups are loaded. All files selected should have the same sampling rate and electrode montage as the selected MUD files for valid classification. All currently loaded files can be cleared from the current session using the ’''Clear All Test Files''’ <span style="color:red">[20]</span> button. All of the MUD files listed in the ’''MUD files''’ panel will be applied to each ’''test file group''’ listed in the 'Test Data' panel.
	#After all of the MUD and test files are selected, press the ' ''Apply Weights'' ' <span style="color:red">[21]</span> button to perform the analysis. For each combination of MUD and test file groups, the classification results will appear in the command window as they are generated. When the analysis is completed, plots summarizing the results for each test set will appear (see ''Results Display'' section).		#After all of the MUD and test files are selected, press the ’''Apply Weights''’ <span style="color:red">[21]</span> button to perform the analysis. For each combination of MUD and test file groups, the classification results will appear in the command window as they are generated. When the analysis is completed, plots summarizing the results for each test set will appear (see ''Results Display'' section).
	#After evaluating the classification results, weight files from the current session can now be saved (see ''Saving Classifier Weights'' section for details).		#After evaluating the classification results, weight files from the current session can now be saved (see ''Saving Classifier Weights'' section for details).

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	~~'''~~Results Display~~'''~~		===Results Display===

	The results of all training and test simulations will be displayed in the Matlab command window and as individual performance plots as shown below. The command window (left) displays the predicted character at each intensification sequence for the corresponding feature weights as labeled. The performance curves for each set of feature weights are plotted in individual windows (right). The top and bottom figures in these windows indicate the same results with different plot styles. For test data, an additional plot will be displayed that gives the average of all the individual test data sets selected.		The results of all training and test simulations will be displayed in the Matlab command window and as individual performance plots as shown below. The command window (left) displays the predicted character at each intensification sequence for the corresponding feature weights as labeled. The performance curves for each set of feature weights are plotted in individual windows (right). The top and bottom figures in these windows indicate the same results with different plot styles. For test data, an additional plot will be displayed that gives the average of all the individual test data sets selected.
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	Visualizing data		===Visualizing data===

	Topographies, waveforms, and r2 plots can be generated independently of the other functions using the GUI as follows:		Topographies, waveforms, and r2 plots can be generated independently of the other functions using the GUI as follows:
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	~~'''Credits:'''<br~~ />		==Troubleshooting==

			==References==

			==Release Notes==

			==Contact/Credit==
	Dean Krusienski<br />		Dean Krusienski<br />
	Assistant Professor<br />		Assistant Professor<br />

Sbriskin at 19:44, 14 January 2009

2009-01-14T19:44:25Z

Show changes

Sbriskin at 19:03, 14 January 2009

2009-01-14T19:03:12Z

← Older revision		Revision as of 19:03, 14 January 2009
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	'''Credits:'''		'''Credits:'''<br />
	Dean Krusienski		Dean Krusienski<br />
	Assistant Professor		Assistant Professor<br />
	Electrical Engineering		Electrical Engineering<br />
	University of North Florida		University of North Florida<br />
	email: deankrusienski@ieee.org		email: deankrusienski@ieee.org<br />

Sbriskin at 18:59, 14 January 2009

2009-01-14T18:59:38Z

@@ Line 83: / Line 83: @@
 MUD is BCI2000’s moniker for the feature weight matrix.  As illustrated in Figure 1, *.mud files appear in the MUD Files Pane, numbered in order of simulation and having the following identifier: ‘''ChS1CAR0DF20RS100SW’'', where ChS1 indicates Channel Set 1, the value following CAR indicates whether a common average reference was used (0 no CAR used, 1 CAR used), the value following DF indicates the decimation factor, value following RS indicates the random sample value, and the final two characters indicate the regression method (SW: SWLDA, LS: least squares, or LG: logistic).
 {|
 |-valign="top"
-|<span style="color: red">[1]</span>||
+|<span style="color: red">[19]</span>||<u>Add Test files</u> Button Use this button to load BCI2000 data files for testing of the feature weights.  Multiple groupings of test files can be added for comparison.
 |-
 |height=10px|
 |-valign="top"
 |}

Sbriskin at 18:51, 14 January 2009

2009-01-14T18:51:04Z

← Older revision		Revision as of 18:51, 14 January 2009
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	#:[[Image:Launch_GUI.png]]		#:[[Image:Launch_GUI.png]]
	#From the Matlab command window, type P300_GUI and press Enter. The P300_GUI control panel will appear.		#From the Matlab command window, type P300_GUI and press Enter. The P300_GUI control panel will appear.
	[[Image:GUI_Control_Panel.png\|<div align="center"><b>Figure 1: The GUI Control Panel</b><br /><span style="color: red">[#'s]</span> correspond to subsequent descriptions of function</div>]]		#:[[Image:GUI_Control_Panel.png\|<div align="center"><b>Figure 1: The GUI Control Panel</b><br /><span style="color: red">[#'s]</span> correspond to subsequent descriptions of function</div>]]

	~~<u>~~''Training Data Pane''~~</u>~~


			'''''Training Data Pane'''''
	{\|		{\|
	\|-valign="top"		\|-valign="top"
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	\|}		\|}




			'''''Feature Weights Pane'''''

			MUD is BCI2000’s moniker for the feature weight matrix. As illustrated in Figure 1, *.mud files appear in the MUD Files Pane, numbered in order of simulation and having the following identifier: ‘''ChS1CAR0DF20RS100SW’'', where ChS1 indicates Channel Set 1, the value following CAR indicates whether a common average reference was used (0 no CAR used, 1 CAR used), the value following DF indicates the decimation factor, value following RS indicates the random sample value, and the final two characters indicate the regression method (SW: SWLDA, LS: least squares, or LG: logistic).