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===User Tutorials=== | ===User Tutorials=== | ||
====BCI2000 | ====BCI2000 Experimental Design Interfaces==== | ||
*[[User Tutorial:BCI2000PresentationLink|BCI2000PresentationLink]] | *[[User Tutorial:BCI2000PresentationLink|BCI2000PresentationLink]] | ||
*[[User Tutorial:BCI2000Remote|BCI2000Remote]] | *[[User Tutorial:BCI2000Remote|BCI2000Remote]] | ||
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*[[User Tutorial:BCPy2000|BCPy2000]] | *[[User Tutorial:BCPy2000|BCPy2000]] | ||
*[[User Tutorial:Psychopy|PsychoPy]] | *[[User Tutorial:Psychopy|PsychoPy]] | ||
*[[User_Tutorial:StimulusPresentation|StimulusPresentation]] | |||
*[[Stimulation]] | |||
====Mu Rhythm Tutorials==== | ====Mu Rhythm Tutorials==== | ||
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*[[User Tutorial:Interpreting the Results|Interpreting the Results]] | *[[User Tutorial:Interpreting the Results|Interpreting the Results]] | ||
*[[Contributions:XsensMTwLogger|XsensMTwLogger]] | *[[Contributions:XsensMTwLogger|XsensMTwLogger]] | ||
*[[Contributions:NeuroOmegaADC|NeuroOmegaADC]] | |||
===Programming Tutorials=== | ===Programming Tutorials=== | ||
*[[Programming Tutorial:Implementing a Source Module]] | *[[Programming Tutorial:Implementing a Source Module|Implementing a Source Module]] | ||
*[[Programming Tutorial:Implementing a Signal Processing Filter]] | *[[Programming Tutorial:Implementing a Signal Processing Filter|Implementing a Signal Processing Filter]] | ||
*[[Programming Tutorial:Implementing a Matlab-based Filter]] | *[[Programming Tutorial:Implementing a Matlab-based Filter|Implementing a Matlab-based Filter]] | ||
*[[Programming Tutorial:Working with the FieldTrip buffer]] | *[[Programming Tutorial:Working with the FieldTrip buffer|Working with the FieldTrip buffer]] | ||
*[[Programming Tutorial:Implementing another Matlab-based Filter]] | *[[Programming Tutorial:Implementing another Matlab-based Filter|Implementing another Matlab-based Filter]] | ||
*[[Programming Tutorial:Implementing an Input Logger]] | *[[Programming Tutorial:Implementing an Input Logger|Implementing an Input Logger]] | ||
===Data Analysis Tutorials=== | ===Data Analysis Tutorials=== | ||
Latest revision as of 22:12, 28 May 2024
The User Tutorials page below contains step-by-step guides and videos for BCI2000 setup, usage, and supported frameworks.
Initial Setup Tutorials
- BCI2000 Tour
- Install Prerequisites
- Register with the BCI2000 Project
- Download the BCI2000 Sourcecode
- Configure BCI2000 for Compilation
- Compile BCI2000
- Create a custom Signal Processing Module
- Attach the Debugger to a BCI2000 Module
- Programmatically wait for the Debugger in a BCI2000 Module
- Deploy a Release version of a BCI2000 Module
User Tutorials
BCI2000 Experimental Design Interfaces
- BCI2000PresentationLink
- BCI2000Remote
- BCI2000Unity
- BCPy2000
- PsychoPy
- StimulusPresentation
- Stimulation
Mu Rhythm Tutorials
In human EEG, primary sensory or motor cortical areas typically exhibit mu rhythm activity at a frequency of approximately 8-12 Hz when they are not processing sensory information or producing motor output.
- Mu Rhythm BCI Tutorial
- Introduction to the Mu Rhythm
- EEG Measurement Setup
- Obtaining Mu Rhythm Parameters in an Initial Session
- Analyzing the Initial Mu Rhythm Session
- Configuring Online Feedback
- Performing a Mu Rhythm Feedback Session
P300 Tutorials
The "P300" or "oddball" potential is the presentation of infrequent stimuli evokes a positive deflection in the EEG over parietal cortex about 300 ms after stimulus presentation.
- P300 BCI Tutorial
- Introduction to the P300 Response
- Preparing your BCI2000 system for P300 BCI experiments for the first time
- EEG Measurement Setup
- Obtaining P300 Parameters in a Calibration Session
- Performing a P300 Spelling Session
Additional User Tutorials
- BCI2000 Certification
- Designing an Eloc File
- EyetrackerLoggerEyeLink
- Integrating an EGI amplifier with BCI2000
- Interpreting the Results
- XsensMTwLogger
- NeuroOmegaADC
Programming Tutorials
- Implementing a Source Module
- Implementing a Signal Processing Filter
- Implementing a Matlab-based Filter
- Working with the FieldTrip buffer
- Implementing another Matlab-based Filter
- Implementing an Input Logger