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.
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.
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.
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.
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.