Brain Computer Interfacing in 2011 - International symposium May 20-21, Utrecht, The Netherlands

Workshop materials

Many of the documentation can be found on the documentation website of BCI2000 at doc.bci2000.org.
Materials are to be uploaded this week. Please check regularly.
The organizers of the workshop can be reached by email at info@bci2011.eu

The BCI2000 Framework, Gerwin Schalk, Ph.D.
This lecture gives a technical overview of the BCI2000 framework.
handout

Overview of Available BCI2000 Components, Gerwin Schalk, Ph.D.
This lecture describes the data acquisition, signal processing, and feedback components currently implemented in BCI2000, and will discuss how they can be used to implement different types of experiments. It also describes latest advances in BCI2000 V3.0, including support for VisualStudio.
handout

Extending BCI2000 Functionality With Your Own C++ Code
Jeremy Hill, Ph.D.
In this tutorial, the participant learns how to implement new signal processing functionality in BCI2000 using the C++ programming language.
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BCI2000 and Matlab
Robert Oostenveld, Ph.D.
In this tutorial, the user learns how to integrate Matlab functions to execute in real time within BCI2000.
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Designing BCI classifiers with PRSD Studio
Pavel Paclik, Ph.D.
In this presentation, the researcher will learn how to design robust real-time BCI detectors and classifiers in Matlab-based PRSD Studio toolbox, and quickly execute them in the BCI2000 environment.
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BCI2000 and FieldTrip
Robert Oostenveld, Ph.D.
In this tutorial, the user learns how to combine FieldTrip functionality with BCI2000 for implementing synchronous and asynchronous processing.
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Configuration, Conduction, and Analysis of mu/beta-Rhythm Experiments
Erik Aarnoutse, Ph.D., Christoph Guger, Ph.D.
In this tutorial, the user learns how to use BCI2000 to support brain-based control of a cursor on a computer screen. Seven EEG-based BCI systems are available for participants throughout this tutorial.
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BCI2000 and Python
Jeremy Hill, Ph.D.
In this tutorial, the participant learns how to incorporate Python scripts into the BCI2000 pipeline to execute in real time.
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Exercises
In these excercises, the user learns how to custom-build modules for BCI applications to their needs and runs his/her own setup with modified input, signal processing methods or output to control assistive technology, games, etc.
overview of exercises
handout BCI2000 System Basics
handout Custom Modules And Filters In C++
handout BCI2000 and Python
handout Logging Input from Various Devices
handout Designing BCI classifiers with PRSD Studio

BCI and Virtual Reality
Christoph Guger, Ph.D.
g.tec, Inc.
handout

Configuration, Conduction, and Analysis of P300 Experiments
Erik Aarnoutse, Ph.D., Christoph Guger, Ph.D.
In this tutorial, the user learns how to use BCI2000 to support spelling using P300 evoked potentials. Seven EEG-based BCI systems are available for participants throughout this tutorial.
handout