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André Mouraux edited this page Oct 29, 2015
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- Hardware and software requirements. Letswave can be used on any Windows, Mac or Linux computer running Matlab 2012 or later.
- Downloading and setting up the toolbox. The latest version of Letswave can be downloaded as an Archive from the NOCIONS Github repository.
- Updating the toolbox. The Letswave toolbox can be updated directly from the main user interface.
- Configuring the toolbox. The Graphical user interfaces can be optimised according to your OS, screen resolution and screen real-estate.
- Information for developers. Contribute to the Letswave project.
- Tutorials
- Graphical user interface. The Letswave graphical user interface is launched by typing ‘letswave’ in the Matlab command prompt.
- Multiviewers. A set of multi viewer functions can be used to visualize and compare the data contained in one or multiple dataset(s).
- Specific viewers. A set of specific visualisation tools.
- History. Browse the history of a dataset.
- Scripts make it possible to apply a succession of operations to one or more datasets.
- Browse and edit events
- Delete duplicate events
- Create events from level trigger
- Merge event codes and latencies
- DC removal and linear detrend
- Reference
- Frequency filters
- Spatial filters (ICA)
- Epoch segmentation
- Baseline operations
- Artefact rejection and suppression
- Current source density (CSD)
- Frequency and time-frequency transforms
- Time-frequency filters
- Resample signals
- Arrange signals
- Average
- Single-trial analysis
- Math
- Source analysis (dipole fitting)
- Find peaks in waveforms
- Global explained variance
- Compare datasets against a constant
- Compare two datasets
- Compare more than two datasets (ANOVA)
- Compare signal amplitude at event latencies
- Bootstrap test against a reference interval
- Figure creators. A series of functions to generate publication-quality figures.
Plugins
User interface
File
Edit
Events
- Browse and edit events
- Delete duplicate events
- Create events from level trigger
- Merge event codes and latencies
Pre-processing
- DC removal and linear detrend
- Reference
- Frequency filters
- Spatial filters (ICA)
- Epoch segmentation
- Baseline operations
- Artefact rejection and suppression
- Current source density (CSD)
- Frequency and time-frequency transforms
- Time-frequency filters
- Resample signals
- Resample signals
- Arrange signals
Post-processing
- Average
- Single-trial analysis
- Math
- Source analysis (dipole fitting)
- Find peaks in waveforms
- Global explained variance
Statistics
- Compare datasets against a constant
- Compare two datasets
- Compare more than two datasets (ANOVA)
- Compare signal amplitude at event latencies
- Bootstrap test against a reference interval
Figures