TESA user manual
  • Introduction
  • Installation, getting started, and reporting bugs
    • A quick intro to TESA
    • A quick intro to Matlab
    • A quick intro to EEGLAB
    • Reporting bugs
  • Overview of TMS-EEG analysis
  • Find and mark TMS pulses
    • Find TMS pulses
    • Find TMS pulses (alternative)
    • Fix TMS pulse latencies
  • Remove and interpolate TMS pulse artifacts
    • Remove TMS pulse artifact
    • Interpolate removed data
  • Remove TMS-evoked muscle activity and other artifacts
    • FastICA
    • Component classification (TESA)
    • Plot and remove components
    • Enhanced deflation method (EDM)
    • PCA compression
    • PCA suppression
    • Detrend
    • SSP–SIR
    • SOUND
  • Filter data
    • Butterworth filter
    • Median filter
  • Analyse TMS-evoked potentials
    • Extract TEPs
    • Find and analyse TEP peaks
    • Output peak analysis
    • Output peak analysis (group)
  • Plot TMS-evoked potentials
    • Plot data
    • Plot data (group)
  • Example analysis pipelines
  • TESA functions under development
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On this page
  • What you need
  • Installation
  • Other code required to run TESA
  • Find TMS pulse (alternative)
  • FastICA
  • Detrend

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Installation, getting started, and reporting bugs

PreviousIntroductionNextA quick intro to TESA

Last updated 4 years ago

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What you need

To run TESA you will need:

  • Matlab 2015b (or higher)

  • EEGLAB 13 -

  • TESA -

Installation

To install TESA, download the software from github releases page, unzip the TESA folder, and paste this in to the plugins folder located within the EEGLAB folder. For further information on installing extensions for EEGLAB, visit the extensions and plug-ins page on the EEGLAB website:

Also see and .

Other code required to run TESA

Certain TESA functions require additional tool boxes or code. Once downloaded, ensure the folders containing this code are added to the Matlab path. See for help using set path.

Find TMS pulse (alternative)

To run the find TMS pulse (alternative), users will need to download a toolbox developed by Daniel Wagenaar (WagenaarMBL) which is available for download at:

FastICA

Detrend

Using either the exponential or double exponential fitting options in the TESA detrend function requires the Matlab Curve Fitting Toolbox, which can be purchased from MathWorks or acquired through academic licenses (if you have access through your University).

To run FastICA, users will need to download the FastICA code from the following website and add this to the Matlab path:

http://sccn.ucsd.edu/eeglab/
https://github.com/nigelrogasch/TESA/releases
http://sccn.ucsd.edu/wiki/EEGLAB_Extensions_and_plug-ins
a quick intro to Matlab
a quick intro to EEGLAB
a quick intro to Matlab
http://www.its.caltech.edu/~daw/teach.html
http://research.ics.aalto.fi/ica/fastica/code/dlcode.shtml