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. We have two versions: ERPLAB Studio is a standalone package that provides an intuitive and easy-to-use graphical user interface. ERPLAB Classic is a plugin that runs inside the EEGLAB graphical user interface.

ERPLAB v11.03

This download contains both ERPLAB Studio (our standalone Matlab program) and ERPLAB Classic (an EEGLAB plugin). If you are new to ERPLAB, we strongly recommend that you go through the ERPLAB Studio Tutorial or ERPLAB Classic Tutorial before trying to analyze your own data.

Click here for installation instructions.

Click here for information about required Matlab toolboxes and compatibility with different versions of Matlab, EEGLAB, Windows, MacOS, and Linux.

We encourage most users to use this latest major version.

Release Notes

ERPLAB v11.03 Release Notes

ERPLAB can now be accessed from two different user interfaces:

• ERPLAB Classic (our original software, which operates as an EEGLAB plugin)
• ERPLAB Studio (a standalone application that provides a more user-friendly GUI)

ERPLAB Studio makes use of the same underlying code as EEGLAB and ERPLAB Classic. It is essentially a different user interface for the same functions. You will therefore get identical results with ERPLAB Studio and ERPLAB Classic, and scripting is the same for both packages. But ERPLAB Studio is much easier to use.

Click here for a 2-minute video overview of ERPLAB Studio.

The most commonly used EEGLAB functions are available from within ERPLAB Studio. For example, you can import EEG data into ERPLAB Studio, filter the EEG, apply ICA for artifact correction, etc. If you need an EEGLAB function that is not implemented within ERPLAB Studio, you can apply that function using the EEGLAB GUI or a script.

If you are already familiar with ERPLAB, you can rapidly learn how to use ERPLAB Studio with our Transition Guide. If you are new to ERPLAB, please go through the ERPLAB Studio Tutorial before attempting to process your own data. Once you understand the basics of ERPLAB Studio, you can get detailed information about the individual processing steps in the ERPLAB Studio Manual.

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. We have two versions: ERPLAB Studio is a standalone package that provides an intuitive and easy-to-use graphical user interface. ERPLAB Classic is a plugin that runs inside the EEGLAB graphical user interface.

ERPLAB v11

This download contains both ERPLAB Studio (our standalone Matlab program) and ERPLAB Classic (an EEGLAB plugin). If you are new to ERPLAB, we strongly recommend that you go through the ERPLAB Studio Tutorial or ERPLAB Classic Tutorial before trying to analyze your own data.

Click here for installation instructions.

Click here for information about required Matlab toolboxes and compatibility with different versions of Matlab, EEGLAB, Windows, MacOS, and Linux.

We encourage most users to use this latest major version.

Release Notes

ERPLAB v11.0 Release Notes

ERPLAB can now be accessed from two different user interfaces:

• ERPLAB Classic (our original software, which operates as an EEGLAB plugin)
• ERPLAB Studio (a standalone application that provides a more user-friendly GUI)

ERPLAB Studio makes use of the same underlying code as EEGLAB and ERPLAB Classic. It is essentially a different user interface for the same functions. You will therefore get identical results with ERPLAB Studio and ERPLAB Classic, and scripting is the same for both packages. But ERPLAB Studio is much easier to use.

Click here for a 2-minute video overview of ERPLAB Studio.

The most commonly used EEGLAB functions are available from within ERPLAB Studio. For example, you can import EEG data into ERPLAB Studio, filter the EEG, apply ICA for artifact correction, etc. If you need an EEGLAB function that is not implemented within ERPLAB Studio, you can apply that function using the EEGLAB GUI or a script.

If you are already familiar with ERPLAB, you can rapidly learn how to use ERPLAB Studio with our Transition Guide. If you are new to ERPLAB, please go through the ERPLAB Studio Tutorial before attempting to process your own data. Once you understand the basics of ERPLAB Studio, you can get detailed information about the individual processing steps in the ERPLAB Studio Manual.

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. Click the Wiki icon at the top of the page for documentation, tutorials, and FAQs.

ERPLAB v10.0

To install ERPLAB v10.0, 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.

Compatibility and Required Toolboxes

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

• The Matlab Signal Processing Toolbox is required.
• EEGLAB v2021 or later is almost always necessary.

However, in order to use the latest MVPC routines (see here), Matlab versions and EEGLAB versions must be recent. In addition, some MATLAB toolboxes are required.

• Matlab 2020b + is REQUIRED for MVPC routines.
• EEGLAB 2023.1 + is REQUIRED for MVPC routines.
• The Matlab Statistics and Machine Learning Toolbox
• The Matlab Parallel Processing Toolbox (recommended)

Find more ERPLAB installation help here.

ERPLAB compatibility table

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

ERPLAB v10.0+ works with...

ERPLAB should work with most modern OSs, Matlab versions, and EEGLAB releases. Let us know if you see any incompatibility.
Starting in ERPLAB v10.0, MATLAB'S "App Designer" was the default GUI system used for the MVPC routines and require at least MATLAB 2020a+ & EEGLAB 2023.1+ in order to work as expected.

Release Notes

ERPLAB v10.0 Release Notes

Now Includes:

ERP Decoding routine: Users can now apply multivariate-pattern classification routines to binned and epoched ERP data. See here for more information.

• NOTE: These routines require at least MATLAB 2020a+ & EEGLAB 2023.1+ in order to work as expected.
• NOTE: These routines also require the following toolboxes: Matlab Statistics and Machine Learning Toolbox, Matlab Parallel Processing Toolbox (recommended)

ERP Wave Viewer: Plotting ERP waveforms are easier than ever using "ERP Wave Viewer". See: ERPLAB > Plot ERPs > Advanced ERP Waveform Viewer (Beta)

ERPLABv9.20 Release Notes

Now Includes:
Create Artificial Waveform Viewer routine: Users can simulate a variety of waveforms to be saved as ERP files (.erp). See documentation here.

New options for adding noise to data via EEG and ERP channel operations (see here).

Users may now shift string event codes in time in addtion to numeric event codes (see Preprocess EEG > Shift Event Codes (continuous EEG)).

Various bug fixes across ERPLAB.

ERPLAB v9.10 Release Notes

Now includes:
Updated Data Quality (DQ) metrics specifications on averaged ERP waveforms, including a new metric: SD across trials.

A new DQ metric for continuous EEG: Spectral Data Quality (continuous EEG)

Various bug fixes concerning bootstrapped SMEs, filtering, and EEG channel operations.

ERPLAB v9.00 Release Notes

Note: ERPLAB v9.00 is the recommended version for use with best practices in ERP data processing and analyses as outlined in Dr. Steven J Luck's new Applied Event-Related Potential Data Analysis e-book here.

Now includes:
Ability to low-pass filter prior to marking EEG segments with all artifact detection routines (data is not saved with the filter).

Ability to calculate Data Quality measures (e.g. analytic SME) on multiple binned and epoched EEGset files prior to creating ERPs.
-More information about the SME can be found here.
-See Applied Event-Related Potential Data Analysis e-book here for best-practices on this approach.

Various fixes to the GUI layouts for many routines (e.g. "Delete Time Segments" for EEG processing).

• Older release Notes can be found here

ERPLAB Help

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

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 v9.20

To install ERPLAB v9.20, 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/eeglab2023.0/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.

Compatibility and Required Toolboxes

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

• The Matlab Signal Processing Toolbox is required.
• EEGLAB v2021 or later is almost always necessary.

Find more ERPLAB installation help here.

ERPLAB compatibility table

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

ERPLAB v9.0+ works with...

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

Release Notes

ERPLABv9.20 Release Notes

Now Includes:
Create Artificial Waveform routine: Users can simulate a variety of waveforms to be saved as ERP files (.erp). See documentation here.

New options for adding noise to data via EEG and ERP channel operations (see here).

Users may now shift string event codes in time in addtion to numeric event codes (see Preprocess EEG > Shift Event Codes (continuous EEG)).

Various bug fixes across ERPLAB.

ERPLAB v9.10 Release Notes

Now includes:
Updated Data Quality (DQ) metrics specifications on averaged ERP waveforms, including a new metric: SD across trials.

A new DQ metric for continuous EEG: Spectral Data Quality (continuous EEG)

Various bug fixes concerning bootstrapped SMEs, filtering, and EEG channel operations.

ERPLAB Help

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

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 v9.10

To install ERPLAB v9.10, 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.

Compatibility and Required Toolboxes

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

• The Matlab Signal Processing Toolbox is required.
• EEGLAB v2021 or later is almost always necessary.

Find more ERPLAB installation help here.

ERPLAB compatibility table

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

ERPLAB v9.0+ works with...

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

Release Notes

ERPLAB v9.10 Release Notes

Now includes:
Updated Data Quality (DQ) metrics specifications on averaged ERP waveforms, including a new metric: SD across trials.

A new DQ metric for continuous EEG: Spectral Data Quality (continuous EEG)

Various bug fixes concerning bootstrapped SMEs, filtering, and EEG channel operations.

ERPLAB Help

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

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 v9.00

To install ERPLAB v9.00, 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
• EEGLAB v2021 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 v9.0+ works with...

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

Release Notes

ERPLAB v9.00 Release Notes

Note: ERPLAB v9.00 is the recommended version for use with best practices in ERP data processing and analyses as outlined in Dr. Steven J Luck's new Applied Event-Related Potential Data Analysis e-book here.

Now includes:
Ability to low-pass filter prior to marking EEG segments with all artifact detection routines (data is not saved with the filter).

Ability to calculate Data Quality measures (e.g. analytic SME) on multiple binned and epoched EEGset files prior to creating ERPs.
-More information about the SME can be found here.
-See Applied Event-Related Potential Data Analysis e-book here for best-practices on this approach.

Various fixes to the GUI layouts for many routines (e.g. "Delete Time Segments" for EEG processing).

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 v8.30

To install ERPLAB v8.30, 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
• 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...

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

Release Notes

ERPLAB v8.30 Release Notes

Now includes:
The ability to operate multiple Data Quality windows (See "Data Quality" introduced in v8.20).

Data quality windows have newly added features (e.g. outliers in each channel and time window).

Updated "Delete Time Segments" pre-processing tool to include the option to ignore boundary events.

Post-Artifact Detection Epoch Interpolation feature. See here.

Standard Measurement Error (SME) bootstrapping functions updated for use in custom scripts.
-More information about the SME can be found here .

Various bug fixes with ERP plotting and measurements.

ERPLAB v8.02 Release Notes

ERPLAB v8.02 adds a colormap to help visualize the Data Quality Table info

ERPLAB v8.01 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

• 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.

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 v8.20

To install ERPLAB v8.20, 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
• 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...

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

Release Notes

ERPLAB v8.20 Release Notes

Now includes:
Fixed bug in continuous data artifact rejection when user wants to join segments of EEG that are close together.

Fixed universal text import to ERPset files for data with low samples (rounding error fix).

Fractional area latency measurement bug fixed.

Updated statistical jackknifing routine to pass data quality options parameter. Updated for ERPlab v8.X+.

Fixed current source density transformation GUI.

Fixed bug that prevented preservation of electrode channel location information in EEG and ERP Channel Operations (and respective GUIs).

Fixed order of electrode channel output to user's specifications (columns of exported measurement file), and fixed column offset bug of ERPset name in exported measurement files.

ERPLAB v8.02 Release Notes

ERPLAB v8.02 adds a colormap to help visualize the Data Quality Table info

ERPLAB v8.01 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

• 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.

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 v8.10

To install ERPLAB v8.10, 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
• 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...

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

Release Notes

ERPLAB v8.10 Release Notes

Now includes:
Matlab R2020a compatible - minor EEGLAB menu display bug fixed

Standard Error bug fixed.

Warns if old standard error is used.

Default SEM transparency on ERP plots is 0.7, rather than 0

The Advanced EventList GUI is now viewable on more screens.

We warn and offer help if Signal Processing Toolbox is missing.

ERPLAB v8.02 Release Notes

ERPLAB v8.02 adds a colormap to help visualize the Data Quality Table info

ERPLAB v8.01 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

• 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.

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...

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

• 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.

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...

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

• 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.

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...

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.

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

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

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

* - (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

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

* - (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

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

* - (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

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

* - (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.

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

* - (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.

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 v5.1.1.0 - Download Latest Release Version

To install ERPLAB v5.1.1.0, 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_5_4b/plugins/erplab_5.1.1.0/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 v5.1.1.0

* - (but with some non-critical warnings)

ERPLAB v5.1.1.0 Release Notes

With ERPLAB v5.1.1.0, we include a variety of user-interface improvements, bug-fixes, and improvements to existing functions. Among these, we have:

- Improved epoch subset selection tool

When selecting epochs for further analysis with 'Compute Average ERPs', the epoch 'Assitant' window can help choose specific epochs. This tool make it easier to do things like separately averaging the first and last halves of a session, or selecting random subsets of trials for split half comparisons.

This Assistant has been updated and bug-fixed, with new options to save a list of the non-selected epochs, write this to a file, revised GUI options, and clear instruction these functions do.

- ERPLAB 'Working Memory' options

ERPLAB saves some data about user-interface settings in a 'Working Memory' structure. We include new functionality to save the state of this memory, and to load previously-saved erpmem. We have new GUI elements in ERPLAB -> Settings -> to clear, save or load erpmem state.

- Fixed the ERP plot 'AutoYLim' problem

When plotting ERPs, there was an occasional issue where setting the YScale via the GUI options could give a plot with 'AutoYLim' being off, but the equivalent script command would leave 'AutoYLim' on.

A workaround for the this was to include 'AutoYLim', 'off' in the scripting command. We have now changed the default behaviour of pop_ploterps() to act more as expected, and so 'AutoYLim' is taken to be 'off' by default when Yscale is specified via script.

As such, 'AutoYLim', 'off' no longer needs to be set in scripts in cases like this, but scripts including these arguments will still work as expected.

- ERPLAB system diagnostic

In order to check some requirements for ERPLAB, we have a simple new function to report the system status:

[allok, systemchk_table] = systemchk_erplab

This can useful for bug reporting and verification that the current computer meets the requirements.

- High-resolution displays

As well as interface scaling on Mac, the appearence is now also improved in non-Mac high-resolution displays.

Bug Fixes

Bug fixes as detailed here

Matlab 2014b/2015 Compatible

ERPLAB has been updated to handle Matlab's new graphics system that was introduced in Matlab R2014b and 2015. This fixes issues when plotting ERPs via plot_erps.

New BDF Visualizer tool

We're introducting a new tool to help you create and test your bin descriptor files (BDF-files). The BDF Visualizer tool allows you to write bin descriptor definitions and quickly see the results on an event-list. You can load in your own event lists through either EEG-sets or through your saved event-list files.

New Power Spectrum Averaging

When averaging EEG data, you can now also calculate the power spectrum (total and evoked) using the same epochs selected for averaging. An optional Taper function was also added to minimize edge effects during FFT computation and/or selecting an epoch's subwindow to compute the power spectrum.

New Plot Scalp Map Options

Plot Scalp Maps has more options for displaying the maps, legends, and electrodes labels.

Update PDF Exporting

Exporting ERPLAB's PDF images is now compatible with newer Matlab versions (2014b and above)

Measurement Labelling

In the ERP Measurement Tool, a new measurement label field is now available for exporting measured values for both long and wide format.

Bug Fixes

12 bug fixes as detailed here