ABOUT BCI+
A FRAMEWORK FOR CLASSICAL BRAIN-COMPUTER INTERFACE RESEARCH AND BEYOND
We created this website to showcase our solutions for the BCI+ field. Here we provide a framework of hard- and software to enable high impact research using brain-computer interface technology. This framework can be used in classical brain-computer interface research but also for e.g.
- Neuroadaptive Technology
- Neuroergonomics
- Physiological Computing
- Symbiotic Interaction
These fields are not mutually exclusive, but rather intersect methodologically and can be considered BCI+.
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With our BCI+ solutions we want to support the wider field of BCI-related technology. We give information on toolbox integrations and publish blog posts from brain-computer interface research.
We are looking forward to seeing you at conferences, reading your guest blog posts about your BCI+ research, and hearing what you think is next in #bciplus on our dedicated Twitter channel!
BCI+ SOLUTIONS
ELECTRODES & CAPS
HARDWARE [AMPLIFIERS & EXTENSIONS]
SOFTWARE
BCI+ BLOG
LSL Markers and/or Hardware Triggers with Brain Products and Various Stimulus Presentation Software Tools
This post serves as a hub for ideas on how to use LSL in combination with Brain Products equipment. We demonstrate how to use LSL and/or hardware triggers via our TriggerBox in stimulus presentation software solutions, such as PsychoPy, Presentation®, E-Prime®, and Psychtoolbox.
Using the MindAffect Speller with Brain Products Amplifiers
This blog post demonstrates how to use the mindaffectBCI software with Brain Products amplifiers. We will first guide you through a specific example of how to use the c-VEP-based speller with our LiveAmp and then illustrate how this can be extended to any of our amplifiers with the use of LSL.
A complete data processing pipeline using LSL
This tutorial demonstrates how LabStreamingLayer (LSL) can be used within a complete pipeline for recording EEG and other signals, adding event markers to the data stream, accessing and visualizing data online, as well as analyzing and converting data after it has been recorded.
Rapid Paradigm Development using SNAP and a Photo Sensor
In order to keep the advantages of using SNAP while offsetting the disadvantage of the delay, we used a Brain Products Photo Sensor to more accurately measure the onset times of visual stimuli, and correct the markers after the recording.
OpenViBE’s native Motor Imagery(MI)-CSP demonstration
This tutorial illustrates the steps necessary to run a simple Motor Imagery paradigm in OpenViBE using a Brain Products amplifier (in this case, a LiveAmp). Although this is one of the simplest examples of a working BCI, such systems are, by nature rather complicated. This tutorial walks through the procedure step by step.
Alpha/TMS Closed Loop
Recent research has pointed to a number of applications for the synchronization of TMS with different EEG features, including the alpha rhythm. We demonstrate how Brain Products hardware, used in conjunction with LabStreamingLayer (LSL)-enabled software can address these issues and provide a platform for conducting research in this field.
M(eye)ndtris
The M(eye)ndtris study introduces a completely hands-free version of Tetris as an example of BCI+. It uses eye tracking and passive brain-computer interfacing to replace existing game elements and to introduce new, neuroadaptive control.