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@andrewxstewart andrewxstewart released this Aug 5, 2020 · 2 commits to master since this release

ERPLAB v8.02 adds a colormap to help visualize the Data Quality Table info
ERPLAB v8.01 adds binorgEEG functions to v8.0

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

ERPLAB v8.02


To install ERPLAB v8.01, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing EEGLAB installation (e.g. /Users/Steve/Documents/MATLAB/eeglab2019_1/plugins/erplab/). More installation help can be found here.

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run eeglab as a command from the Matlab Command Window. Find our tutorial here.

We encourage most users to use this latest major version.


ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

  • The Matlab Signal Processing Toolbox is required
    • Entering in the command ver in the Command Window will produce a list of installed toolboxes. Check this list to see whether the Signal Processing Toolbox is installed
  • EEGLAB v12 or later is recommended.

Find more ERPLAB installation help here.

ERPLAB compatibility table

Here is a list of some confirmed-working environments for ERPLAB.

ERPLAB v8.0 works with...

OS Matlab EEGLAB Working?
Mac OS 10.13.5 'High Sierra' Matlab R2015a EEGLAB v14.1.2
Mac OS 10.13.5 'High Sierra' Matlab R2018a EEGLAB v14.1.2 ✓ with Matlab update
Mac OS 10.15 'Catalina' Matlab R2016a EEGLAB v2019_1
Windows 7 Matlab R2014a EEGLAB v13.5.4b
Windows 10 Matlab R2015a EEGLAB v13.5.4b
Windows 10 Matlab R2016a EEGLAB v2019_1
Ubuntu 14.04 LTS Matlab R2014a EEGLAB v13.5.4b
Ubuntu 18.04 LTS Matlab R2019a EEGLAB v2019_1

ERPLAB should work with most modern OSs, Matlab versions, and EEGLAB releases. Let us know if you see any incompatibility.



Release Notes

ERPLAB v8.01 adds binorgEEG functions to v8.0

ERPLAB v8.0 Release Notes

With ERPLAB v8.0, we include new tools for assessing measures of Data Quality Metrics in EEG ERP data.

  • Data Quality Metrics
    • The ERP Averager will calculate these Data Quality Metrics by default
    • A new submenu in the ERPLAB menu ('Data Quality options') allows access from the EEGLAB-ERPLAB GUI.
    • A new table interface to show all the data quality information from an ERP set with DQ_Table_GUI(ERP) or through the above GUI menu option.
    • These data quality metrics can be summarized on the Command Window, saved to Mat structure or exported to Excel, or plotted in the above interactive table.
    • The data quality information and metadata is stored in a new structure, ERP.dataquality

  • New options for calculating, viewing, and saving, frequency spectra, in the compute_fourier(EEG) function

ERPLAB Help

ERPLAB tutorial, manual, and other documentation can be found on the ERPLAB wiki, here.

Assets 3

@andrewxstewart andrewxstewart released this Jun 13, 2020 · 6 commits to master since this release

ERPLAB v8.01 adds binorgEEG functions to v8.0

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

ERPLAB v8.01


To install ERPLAB v8.01, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing EEGLAB installation (e.g. /Users/Steve/Documents/MATLAB/eeglab2019_1/plugins/erplab/). More installation help can be found here.

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run eeglab as a command from the Matlab Command Window. Find our tutorial here.

We encourage most users to use this latest major version.


ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

  • The Matlab Signal Processing Toolbox is required
    • Entering in the command ver in the Command Window will produce a list of installed toolboxes. Check this list to see whether the Signal Processing Toolbox is installed
  • EEGLAB v12 or later is recommended.

Find more ERPLAB installation help here.

ERPLAB compatibility table

Here is a list of some confirmed-working environments for ERPLAB.

ERPLAB v8.0 works with...

OS Matlab EEGLAB Working?
Mac OS 10.13.5 'High Sierra' Matlab R2015a EEGLAB v14.1.2
Mac OS 10.13.5 'High Sierra' Matlab R2018a EEGLAB v14.1.2 ✓ with Matlab update
Mac OS 10.15 'Catalina' Matlab R2016a EEGLAB v2019_1
Windows 7 Matlab R2014a EEGLAB v13.5.4b
Windows 10 Matlab R2015a EEGLAB v13.5.4b
Windows 10 Matlab R2016a EEGLAB v2019_1
Ubuntu 14.04 LTS Matlab R2014a EEGLAB v13.5.4b
Ubuntu 18.04 LTS Matlab R2019a EEGLAB v2019_1

ERPLAB should work with most modern OSs, Matlab versions, and EEGLAB releases. Let us know if you see any incompatibility.



Release Notes

ERPLAB v8.01 adds binorgEEG functions to v8.0

ERPLAB v8.0 Release Notes

With ERPLAB v8.0, we include new tools for assessing measures of Data Quality Metrics in EEG ERP data.

  • Data Quality Metrics
    • The ERP Averager will calculate these Data Quality Metrics by default
    • A new submenu in the ERPLAB menu ('Data Quality options') allows access from the EEGLAB-ERPLAB GUI.
    • A new table interface to show all the data quality information from an ERP set with DQ_Table_GUI(ERP) or through the above GUI menu option.
    • These data quality metrics can be summarized on the Command Window, saved to Mat structure or exported to Excel, or plotted in the above interactive table.
    • The data quality information and metadata is stored in a new structure, ERP.dataquality

  • New options for calculating, viewing, and saving, frequency spectra, in the compute_fourier(EEG) function

ERPLAB Help

ERPLAB tutorial, manual, and other documentation can be found on the ERPLAB wiki, here.

Assets 3

@andrewxstewart andrewxstewart released this Apr 29, 2020 · 13 commits to master since this release

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

ERPLAB v8.0


To install ERPLAB v8.0, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing EEGLAB installation (e.g. /Users/Steve/Documents/MATLAB/eeglab2019_1/plugins/erplab/). More installation help can be found here.

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run eeglab as a command from the Matlab Command Window. Find our tutorial here.

We encourage most users to use this latest major version.


ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

  • The Matlab Signal Processing Toolbox is required
    • Entering in the command ver in the Command Window will produce a list of installed toolboxes. Check this list to see whether the Signal Processing Toolbox is installed
  • EEGLAB v12 or later is recommended.

Find more ERPLAB installation help here.

ERPLAB compatibility table

Here is a list of some confirmed-working environments for ERPLAB.

ERPLAB v8.0 works with...

OS Matlab EEGLAB Working?
Mac OS 10.13.5 'High Sierra' Matlab R2015a EEGLAB v14.1.2
Mac OS 10.13.5 'High Sierra' Matlab R2018a EEGLAB v14.1.2 ✓ with Matlab update
Mac OS 10.15 'Catalina' Matlab R2016a EEGLAB v2019_1
Windows 7 Matlab R2014a EEGLAB v13.5.4b
Windows 10 Matlab R2015a EEGLAB v13.5.4b
Windows 10 Matlab R2016a EEGLAB v2019_1
Ubuntu 14.04 LTS Matlab R2014a EEGLAB v13.5.4b
Ubuntu 18.04 LTS Matlab R2019a EEGLAB v2019_1


ERPLAB v8.0 Release Notes

With ERPLAB v8.0, we include new tools for assessing measures of Data Quality Metrics in EEG ERP data.

  • The ERP Averager will calculate these Data Quality Metrics by default

  • A new submenu in the ERPLAB menu ('Data Quality options') allows access from the EEGLAB-ERPLAB GUI.

  • A new table interface to show all the data quality information from an ERP set with DQ_Table_GUI(ERP) or through the above GUI menu option.

  • These data quality metrics can be summarized on the Command Window, saved to Mat structure or exported to Excel, or plotted in the above interactive table.

  • The data quality information and metadata is stored in a new structure, ERP.dataquality

  • New options for calculating, viewing, and saving, frequency spectra, in the compute_fourier(EEG) function

  • Various bugfixes

  • Older release Notes can be found here

ERPLAB Help

ERPLAB tutorial, manual, and other documentation can be found on the ERPLAB wiki, here.

Assets 3

@andrewxstewart andrewxstewart released this Dec 15, 2017 · 94 commits to master since this release

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

ERPLAB v7.0.0


To install ERPLAB v7.0.0, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing EEGLAB installation (e.g. ~/Documents/MATLAB/eeglab13_6_4b/plugins/erplab7.0.0/). Additional installation help can be found here.

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run eeglab as a command from the Matlab Command Window. Find our tutorial here.

We encourage most users to use this latest major version.


ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

  • We recommend a 64 bit OS, 64 bit Matlab, and at least 4 GB RAM. Most modern computers meet this.
  • The Matlab Signal Processing Toolbox is required
    • Entering in the command ver in the Command Window will produce a list of installed toolboxes. Check this list to see whether the Signal Processing Toolbox is installed
  • EEGLAB v12 or later is recommended. EEGLAB v11 is not recommended.

Find installation help here

ERPLAB compatibility table

Here is a list of some confirmed-working environments for ERPLAB.

ERPLAB v7.0.0

OS Matlab EEGLAB Working?
Mac OS X 10.11.5 'El Capitan' Matlab R2015a EEGLAB v13.5.4b
MacOS 10.12 'Sierra' Matlab R2016a EEGLAB v13.5.4b
Windows 7 Matlab R2014a EEGLAB v13.5.4b
Windows 8.1 Matlab R2014a EEGLAB v13.5.4b
Windows 10 Matlab R2015a EEGLAB v13.5.4b
Ubuntu 14.04 LTS Matlab R2014a EEGLAB v13.5.4b


ERPLAB v7.0.0 Release Notes

  • Updated tools for pre-processing continuous EEG, including functions for

    • deleting time segments
    • shifting event codes
    • selective electrode interpolation
  • Crucial compatibility fixes to allow running in R2017b and later, while still being backwards-compatible with older versions of Matlab. No more yellow warnings about NARGCHK in R2016a or later.

ERPLAB v6.1.4

Some additions and minor bugfixes, including:

  • Removing channels can now avoid deleting all channel location information
  • More channel location tools
  • Measurement Window GUI now fits on a smaller screen
  • Improvements in 'Preprocess Continuous EEG' options
  • Fixed a bug where the number of loaded erpsets would be mistakenly taken to be zero
  • Improved Current-Source-Density compatibility
  • Replaced the error 'Quack' noise with a beep, and replaced some error pictures.

ERPLAB v6.1.3

Minor bugfixes, including:

  • Cleaned up the Measurement Viewer text and options
  • Measurement Viewer helper text now only shown when relevant

ERPLAB v6.1.2

Minor bugfixes, including:

  • Fixed BDF Library url-link in BDF-Visualizer
  • Swapped artifact and user-flag display in BDF-Visualizer

ERPLAB v6.1.1

Minor bugfixes, including:

  • Shift Event Codes GUI fix - now doesn't crash on launch.
  • Adopted [Major].[Minor].[Patch] version numbers, this being v6.1.1, with backward-compatible file loading. Note - from v6.0, we no longer indicate the file type usage in the version number, and this is now always taken to be 1.

ERPLAB v6.0 Release Notes

With ERPLAB v6.0, we include a variety of new features, user-interface improvements, bug-fixes, and improvements to existing functions. Among these, we have:

- Current Source Density Tool

EEG or ERP data can be used to compute an estimate of the Current Source Density (CSD). We include new functions to take data loaded in ERPLAB (either EEG or ERP) and compute the CSD data. We use CSD methods from Jürgen Kayser (from the CSD Toolbox).

These tools can be found in the new 'ERPLAB -> Data Transformations' menu. A new ERPLAB dataset is generated, with CSD data in the place of EEG/ERP data.

Find CSD documentation here

- Fractional peak measurement can now be offset (post-peak) as well as onset (pre-peak)

In the ERP Measurement tool, ERPLAB can record measurements of local peaks and the time of a fractional peak, like 50% peak. Previously, this fractional peak measurement was taken from the 'onset' of the peak, before the peak. In v6.0, ERPLAB also has an option to measure the fractional peak 'offset', the 50% peak value after the peak.

- ERPLAB documentation on GitHub

For more easy editing, ERPLAB documentation has been moved to a wiki here.


Bug Fixes

Bug fixes as detailed here

Assets 3

@andrewxstewart andrewxstewart released this Jul 19, 2017 · 100 commits to master since this release

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

ERPLAB v6.1.4


To install ERPLAB v6.1.4, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing EEGLAB installation (e.g. ~/Documents/MATLAB/eeglab13_6_4b/plugins/erplab6.1.4/). Additional installation help can be found here.

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run eeglab as a command from the Matlab Command Window. Find our tutorial here..

We encourage most users to use this latest major version.


ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

  • We recommend a 64 bit OS, 64 bit Matlab, and at least 4 GB RAM. Most modern computers meet this.
  • The Matlab Signal Processing Toolbox is required
    • Entering in the command ver in the Command Window will produce a list of installed toolboxes. Check this list to see whether the Signal Processing Toolbox is installed
  • Caution: EEGLAB v11 is not recommended.

Find installation help here

ERPLAB compatibility table

Here is a list of some confirmed-working environments for ERPLAB.

ERPLAB v6.1.4

OS Matlab EEGLAB Working?
Mac OS X 10.11.5 'El Capitan' Matlab R2015a EEGLAB v13.5.4b
Mac OS X 10.11.4 'El Capitan' Matlab R2016a EEGLAB v13.5.4b ✓ *
Windows 7 Matlab R2014a EEGLAB v13.5.4b
Windows 8.1 Matlab R2014a EEGLAB v13.5.4b
Windows 10 Matlab R2015a EEGLAB v13.5.4b
Ubuntu 14.04 LTS Matlab R2014a EEGLAB v13.5.4b

* - (but with some non-critical warnings)




ERPLAB v6.1.4

Some additions and minor bugfixes, including:

  • Removing channels can now avoid deleting all channel location information
  • More channel location tools
  • Measurement Window GUI now fits on a smaller screen
  • Improvements in 'Preprocess Continuous EEG' options
  • Fixed a bug where the number of loaded erpsets would be mistakenly taken to be zero
  • Improved Current-Source-Density compatibility
  • Replaced the error 'Quack' noise with a beep, and replaced some error pictures.

ERPLAB v6.1.3

Minor bugfixes, including:

  • Cleaned up the Measurement Viewer text and options
  • Measurement Viewer helper text now only shown when relevant

ERPLAB v6.1.2

Minor bugfixes, including:

  • Fixed BDF Library url-link in BDF-Visualizer
  • Swapped artifact and user-flag display in BDF-Visualizer

ERPLAB v6.1.1

Minor bugfixes, including:

  • Shift Event Codes GUI fix - now doesn't crash on launch.
  • Adopted [Major].[Minor].[Patch] version numbers, this being v6.1.1, with backward-compatible file loading. Note - from v6.0, we no longer indicate the file type usage in the version number, and this is now always taken to be 1.

ERPLAB v6.1 Release Notes

Shift Event Codes

The new Shift Event Codes tool has been updated so that when you shift event codes beyond a continuous EEG boundary marker (e.g. -99, "boundary" event codes) then that code will be deleted

New Github-based documentation & ERPInfo.org website

We have fully migrated of all our ERPLAB documentation (i.e. manual, tutorial, etc) now to Github, and so have now updated the help links in ERPLAB.


ERPLAB v6.0 Release Notes

With ERPLAB v6.0, we include a variety of new features, user-interface improvements, bug-fixes, and improvements to existing functions. Among these, we have:

- Current Source Density Tool

EEG or ERP data can be used to compute an estimate of the Current Source Density (CSD). We include new functions to take data loaded in ERPLAB (either EEG or ERP) and compute the CSD data. We use CSD methods from Jürgen Kayser (from the CSD Toolbox).

These tools can be found in the new 'ERPLAB -> Data Transformations' menu. A new ERPLAB dataset is generated, with CSD data in the place of EEG/ERP data.

Find CSD documentation here

- Fractional peak measurement can now be offset (post-peak) as well as onset (pre-peak)

In the ERP Measurement tool, ERPLAB can record measurements of local peaks and the time of a fractional peak, like 50% peak. Previously, this fractional peak measurement was taken from the 'onset' of the peak, before the peak. In v6.0, ERPLAB also has an option to measure the fractional peak 'offset', the 50% peak value after the peak.

- ERPLAB documentation on GitHub

For more easy editing, ERPLAB documentation has been moved to a wiki here.

- Continuous EEG Preprocessing tools

- Delete Time Segments tool

With the new Delete Time Segments tool you can now remove segments of irrelevant continuous EEG data, like data recorded during breaks in the experiment.

- Time delay event code shifting tool

With the new Shift Event Codes tool you can now time-shift specific event codes either to either earlier or later timepoints in the EEG data. This tool was created to counter the delay between visual stimulus onset on the monitor and its corresponding event code recorded in the EEG data.

- Selective Electrode Interpolation tool

The new Selective Electrode Interpolation tool is based off of EEGLAB's own interpolation function and adds the ability to specify which electrodes to use as input for interpolation.


Bug Fixes

Bug fixes as detailed here

Assets 3

@andrewxstewart andrewxstewart released this Feb 17, 2017 · 121 commits to master since this release

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

ERPLAB v6.1.3


To install ERPLAB v6.1.3, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing EEGLAB installation (e.g. ~/Documents/MATLAB/eeglab13_6_4b/plugins/erplab6.1.3/). Additional installation help can be found here.

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run eeglab as a command from the Matlab Command Window. Find our tutorial here..

We encourage most users to use this latest major version.


ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

We do recommend a 64 bit OS, 64 bit Matlab, and at least 4 GB RAM. Most modern computers meet this. The Matlab Signal Processing Toolbox is required.

Caution: EEGLAB v11 is not recommended.

Find installation help here

ERPLAB compatibility table

Here is a list of some confirmed-working environments for ERPLAB.

ERPLAB v6.1.3

OS Matlab EEGLAB Working?
Mac OS X 10.11.5 'El Capitan' Matlab R2015a EEGLAB v13.5.4b
Mac OS X 10.11.4 'El Capitan' Matlab R2016a EEGLAB v13.5.4b ✓ *
Windows 7 Matlab R2014a EEGLAB v13.5.4b
Windows 8.1 Matlab R2014a EEGLAB v13.5.4b
Windows 10 Matlab R2015a EEGLAB v13.5.4b
Ubuntu 14.04 LTS Matlab R2014a EEGLAB v13.5.4b

* - (but with some non-critical warnings)




ERPLAB v6.1.3 Patch

Minor bugfixes, including:

  • Cleaned up the Measurement Viewer text and options
  • Measurement Viewer helper text now only shown when relevant

ERPLAB v6.1.2 Patch

Minor bugfixes, including:

  • Fixed BDF Library url-link in BDF-Visualizer
  • Swapped artifact and user-flag display in BDF-Visualizer

ERPLAB v6.1.1 Patch

Minor bugfixes, including:

  • Shift Event Codes GUI fix - now doesn't crash on launch.
  • Adopted [Major].[Minor].[Patch] version numbers, this being v6.1.1, with backward-compatible file loading. Note - from v6.0, we no longer indicate the file type usage in the version number, and this is now always taken to be 1.

ERPLAB v6.1 Release Notes

Shift Event Codes

The new Shift Event Codes tool has been updated so that when you shift event codes beyond a continuous EEG boundary marker (e.g. -99, "boundary" event codes) then that code will be deleted

New Github-based documentation & ERPInfo.org website

We have fully migrated of all our ERPLAB documentation (i.e. manual, tutorial, etc) now to Github, and so have now updated the help links in ERPLAB.


ERPLAB v6.0 Release Notes

With ERPLAB v6.0, we include a variety of new features, user-interface improvements, bug-fixes, and improvements to existing functions. Among these, we have:

- Current Source Density Tool

EEG or ERP data can be used to compute an estimate of the Current Source Density (CSD). We include new functions to take data loaded in ERPLAB (either EEG or ERP) and compute the CSD data. We use CSD methods from Jürgen Kayser (from the CSD Toolbox).

These tools can be found in the new 'ERPLAB -> Data Transformations' menu. A new ERPLAB dataset is generated, with CSD data in the place of EEG/ERP data.

Find CSD documentation here

- Fractional peak measurement can now be offset (post-peak) as well as onset (pre-peak)

In the ERP Measurement tool, ERPLAB can record measurements of local peaks and the time of a fractional peak, like 50% peak. Previously, this fractional peak measurement was taken from the 'onset' of the peak, before the peak. In v6.0, ERPLAB also has an option to measure the fractional peak 'offset', the 50% peak value after the peak.

- ERPLAB documentation on GitHub

For more easy editing, ERPLAB documentation has been moved to a wiki here.

- Continuous EEG Preprocessing tools

- Delete Time Segments tool

With the new Delete Time Segments tool you can now remove segments of irrelevant continuous EEG data, like data recorded during breaks in the experiment.

- Time delay event code shifting tool

With the new Shift Event Codes tool you can now time-shift specific event codes either to either earlier or later timepoints in the EEG data. This tool was created to counter the delay between visual stimulus onset on the monitor and its corresponding event code recorded in the EEG data.

- Selective Electrode Interpolation tool

The new Selective Electrode Interpolation tool is based off of EEGLAB's own interpolation function and adds the ability to specify which electrodes to use as input for interpolation.


Bug Fixes

Bug fixes as detailed here

Assets 3

@andrewxstewart andrewxstewart released this Feb 3, 2017 · 124 commits to master since this release

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

ERPLAB v6.1.2


To install ERPLAB, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing EEGLAB installation (e.g. ~/Documents/MATLAB/eeglab13_6_4b/plugins/erplab6.1.2/). Additional installation help can be found here.

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run eeglab as a command from the Matlab Command Window. Find our tutorial here..

We encourage most users to use this latest major version.


ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

We do recommend a 64 bit OS, 64 bit Matlab, and at least 4 GB RAM. Most modern computers meet this. The Matlab Signal Processing Toolbox is required.

Caution: EEGLAB v11 is not recommended.

Find installation help here

ERPLAB compatibility table

Here is a list of some confirmed-working environments for ERPLAB.

ERPLAB v6.1.2

OS Matlab EEGLAB Working?
Mac OS X 10.11.5 'El Capitan' Matlab R2015a EEGLAB v13.5.4b
Mac OS X 10.11.4 'El Capitan' Matlab R2016a EEGLAB v13.5.4b ✓ *
Windows 7 Matlab R2014a EEGLAB v13.5.4b
Windows 8.1 Matlab R2014a EEGLAB v13.5.4b
Windows 10 Matlab R2015a EEGLAB v13.5.4b
Ubuntu 14.04 LTS Matlab R2014a EEGLAB v13.5.4b

* - (but with some non-critical warnings)








Release Notes

ERPLAB v6.1.2 Patch

Minor bugfixes:

  • Fixed BDF Library url-link in BDF-Visualizer
  • Swapped artifact and user-flag display in BDF-Visualizer

ERPLAB v6.1.1 Patch

Minor bugfixes:

  • Shift Event Codes GUI fix - now doesn't crash on launch.
  • Adopted [Major].[Minor].[Patch] version numbers, this being v6.1.1, with backward-compatible file loading. Note - from v6.0, we no longer indicate the file type usage in the version number, and this is now always taken to be 1.

ERPLAB v6.1

Shift Event Codes

The new Shift Event Codes tool has been updated so that when you shift event codes beyond a continuous EEG boundary marker (e.g. -99, "boundary" event codes) then that code will be deleted

New Github-based documentation & ERPInfo.org website

We have fully migrated of all our ERPLAB documentation (i.e. manual, tutorial, etc) now to Github, and so have now updated the help links in ERPLAB.

ERPLAB v6.0

With ERPLAB v6.0, we include a variety of new features, user-interface improvements, bug-fixes, and improvements to existing functions. Among these, we have:

Current Source Density Tool

EEG or ERP data can be used to compute an estimate of the Current Source Density (CSD). We include new functions to take data loaded in ERPLAB (either EEG or ERP) and compute the CSD data. We use CSD methods from Jürgen Kayser (from the CSD Toolbox).

These tools can be found in the new 'ERPLAB -> Data Transformations' menu. A new ERPLAB dataset is generated, with CSD data in the place of EEG/ERP data.

Find CSD documentation here

Fractional peak measurement can now be offset (post-peak) as well as onset (pre-peak)

In the ERP Measurement tool, ERPLAB can record measurements of local peaks and the time of a fractional peak, like 50% peak. Previously, this fractional peak measurement was taken from the 'onset' of the peak, before the peak. In v6.0, ERPLAB also has an option to measure the fractional peak 'offset', the 50% peak value after the peak.

ERPLAB documentation on GitHub

For more easy editing, ERPLAB documentation has been moved to a wiki here.

Continuous EEG Preprocessing tools

  • Delete Time Segments tool
    With the new Delete Time Segments tool you can now remove segments of irrelevant continuous EEG data, like data recorded during breaks in the experiment.
  • Time delay event code shifting tool
    With the new Shift Event Codes tool you can now time-shift specific event codes either to either earlier or later timepoints in the EEG data. This tool was created to counter the delay between visual stimulus onset on the monitor and its corresponding event code recorded in the EEG data.
  • Selective Electrode Interpolation tool
    The new Selective Electrode Interpolation tool is based off of EEGLAB's own interpolation function and adds the ability to specify which electrodes to use as input for interpolation.

Bug Fixes

Bug fixes as detailed here

Assets 3
Feb 3, 2017
v6.1.1 staging commit

@jasonarita jasonarita released this Jan 24, 2017 · 136 commits to master since this release

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

ERPLAB v6.1


To install ERPLAB v6.1, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing EEGLAB installation (e.g. ~/Documents/MATLAB/eeglab13_6_4b/plugins/erplab-6.1/). Additional installation help can be found here.

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run eeglab as a command from the Matlab Command Window. Find our tutorial here..

We encourage most users to use this latest major version.


ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

We do recommend a 64 bit OS, 64 bit Matlab, and at least 4 GB RAM. Most modern computers meet this. The Matlab Signal Processing Toolbox is required.

The EEGLAB v11 is not recommended.

Find installation help here

ERPLAB compatibility table

Here is a list of some confirmed-working environments for ERPLAB.

ERPLAB v6.1

OS Matlab EEGLAB Working?
Mac OS X 10.11.4 'El Capitan' Matlab R2015a EEGLAB v13.5.4b
Mac OS X 10.11.4 'El Capitan' Matlab R2016a EEGLAB v13.5.4b ✓ *
Windows 7 Matlab R2014a EEGLAB v13.5.4b
Windows 8.1 Matlab R2014a EEGLAB v13.5.4b
Ubuntu 14.04 LTS Matlab R2014a EEGLAB v13.5.4b

* - (but with some non-critical warnings)




ERPLAB v6.1 Release Notes

Shift Event Codes

The new Shift Event Codes tool has been updated so that when you shift event codes beyond a continuous EEG boundary marker (e.g. -99, "boundary" event codes) then that code will be deleted

New Github-based documentation & ERPInfo.org website

We have fully migrated of all our ERPLAB documentation (i.e. manual, tutorial, etc) now to Github, and so have now updated the help links in ERPLAB.

Assets 3

@andrewxstewart andrewxstewart released this Oct 4, 2016 · 161 commits to master since this release

ERPLAB Toolbox is a free, open-source Matlab package for analyzing ERP data. It is tightly integrated with EEGLAB Toolbox, extending EEGLAB’s capabilities to provide robust, industrial-strength tools for ERP processing, visualization, and analysis. A graphical user interface makes it easy for beginners to learn, and Matlab scripting provides enormous power for intermediate and advanced users.

ERPLAB v6.0 - Download Latest Release Version


To install ERPLAB v6.0, download the zip file (linked above), unzip and place the folder in the 'plugins' folder of your existing EEGLAB installation (so something like /Users/steve/Documents/MATLAB/eeglab13_6_4b/plugins/erplab6.0/eegplugin_erplab.m exists). Additional installation help can be found here.

To run ERPLAB, ensure that the correct EEGLAB folder is in your current Matlab path, and run eeglab as a command from the Matlab Command Window. Find our tutorial here..

We encourage most users to use this latest major version.


ERPLAB compatibility

We anticipate that ERPLAB will work with most recent OSs, Matlab versions and EEGLAB versions.

We do recommend a 64 bit OS, 64 bit Matlab, and at least 4 GB RAM. Most modern computers meet this. The Matlab Signal Processing Toolbox is required.

The old v11 of EEGLAB is not recommended.

Find installation help here

ERPLAB compatibility table

Here is a list of some confirmed-working environments for ERPLAB.

ERPLAB v6.0

OS Matlab EEGLAB Working?
Mac OS X 10.11.4 'El Capitan' Matlab R2015a EEGLAB v13.5.4b
Mac OS X 10.11.4 'El Capitan' Matlab R2016a EEGLAB v13.5.4b ✓ *
Windows 7 Matlab R2014a EEGLAB v13.5.4b
Windows 8.1 Matlab R2014a EEGLAB v13.5.4b
Ubuntu 14.04 LTS Matlab R2014a EEGLAB v13.5.4b

* - (but with some non-critical warnings)




ERPLAB v6.0 Release Notes

With ERPLAB v6.0, we include a variety of new features, user-interface improvements, bug-fixes, and improvements to existing functions. Among these, we have:

- Current Source Density Tool

EEG or ERP data can be used to compute an estimate of the Current Source Density (CSD). We include new functions to take data loaded in ERPLAB (either EEG or ERP) and compute the CSD data. We use CSD methods from Jürgen Kayser (from the CSD Toolbox).

These tools can be found in the new 'ERPLAB -> Data Transformations' menu. A new ERPLAB dataset is generated, with CSD data in the place of EEG/ERP data.

- Fractional peak measurement can now be offset (post-peak) as well as onset (pre-peak)

In the ERP Measurement tool, ERPLAB can record measurements of local peaks and the time of a fractional peak, like 50% peak. Previously, this fractional peak measurement was taken from the 'onset' of the peak, before the peak. In v6.0, ERPLAB also has an option to measure the fractional peak 'offset', the 50% peak value after the peak.

- ERPLAB documentation on GitHub

For more easy editing, ERPLAB documentation has been moved to a wiki here.

- Continuous EEG Preprocessing tools

- Delete Time Segments tool

With the new Delete Time Segments tool you can now remove segments of irrelevant continuous EEG data, like data recorded during breaks in the experiment.

- Time delay event code shifting tool

With the new Shift Event Codes tool you can now time-shift specific event codes either to either earlier or later timepoints in the EEG data. This tool was created to counter the delay between visual stimulus onset on the monitor and its corresponding event code recorded in the EEG data.

- Selective Electrode Interpolation tool

The new Selective Electrode Interpolation tool is based off of EEGLAB's own interpolation function and adds the ability to specify which electrodes to use as input for interpolation.

Assets 3
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