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Introduction To Modern Brain-Computer Interface Design - SCCN. Overview Christian Kothe This is an online course on Brain-Computer Interface (BCI) design with a focus on modern methods. The lectures were first given by Christian Kothe (SCCN/UCSD) in 2012 at University of Osnabrueck within the Cognitive Science curriculum and have now been recorded in the form of an open online course. The course includes basics of EEG, BCI, signal processing, machine learning, and also contains tutorials on using BCILAB and the lab streaming layer software.

Online Videos Course Overview Videos • Quick Teaser for the Course • Course Outline (slides) Part I: Introduction to BCI Design • Lecture 1: Introduction (slides) • Module 1.1: What is a Brain-Computer Interface? • Module 1.2: Application Areas and Examples • Module 1.3: Scientific Challenge • Module 1.4: Available Tools • Demo 1: The Lab Streaming Layer (slides) • Lecture 2: EEG Basics (slides) • Module 2.1: Underlying Brain Processes • Module 2.2: Spatial Characteristics • Module 2.3: Temporal Characteristics • Module 5.1: Task. EEG Headset. Wearable Technology Database | Vandrico Inc. Welcome to the OpenEEG project. About the project Many people are interested in what is called neurofeedback or EEG biofeedback training, a generic mental training method which makes the trainee consciously aware of the general activity in the brain. This method shows great potential for improving many mental capabilities and exploring consciousness.

Other people want to do experiments with brain-computer interfaces or just want to have a look at their brain at work. Unfortunately, commercial EEG devices are generally too expensive to become a hobbyist tool or toy. The OpenEEG project is about making plans and software for do-it-yourself EEG devices available for free (as in GPL). It is aimed toward amateurs who would like to experiment with EEG. Right now, this site is mostly about the hardware; schematics, part lists, building instructions etc. Some regulatory business Commercial and clinical EEG devices must live up to certain standards.

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