BCI2000: a general-purpose brain-computer interface (BCI) system

By Gerwin Schalk, Dennis J. McFarland, Thilo Hinterberger, Niels Birbaumer, Jonathan R. Wolpaw. IEEE Transactions on Biomedical Engineering, 2004

3,166 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/84793bfc20dbeeba0949136cfbb964cf12c88ef7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

BCILAB: a platform for brain–computer interface development (2013, background): “Therefore, the role of BCILAB in creating an end-user application (for example a commercial game) would be to search for and identify, or to create an appropriate method for a particular application, test prototype implementations of it, and then to translate the ﬁnal algorithm into a deployable lan”
EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing (2011, background): “Step (3) above also produces a calibrated predictive model which can be loaded into one of the provided real-time plug-ins (for ERICA, BCI2000 [48], and OpenViBE [49] real-time environments, with others forthcoming) for online testing.”
Quadcopter control in three-dimensional space using a noninvasive motor imagery based brain-computer interface (2013, methodology): “During the initial training period, a statistical optimization of the control signal was performed using the Ofﬂine Analysis toolbox released with the BCI2000 development platform (Schalk et al 2004).”
Brain-Computer Interfaces Using Sensorimotor Rhythms: Current State and Future Perspectives (2014, positive): “so that dynamic outcomes are obtained for BCI control [119].”
EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces (2016, methodology): “aining (neurofeedback) and long calibration times (20 minutes) in order to achieve reasonable performance [42]. The EEG data used here is from the PhysioNet EEG motor movement/imagery dataset (N=109) [64,65]. The EEG data was recorded using 64 channels following the aforementioned 10-10 system for e”
Review of the BCI Competition IV (2012, methodology): “The general-purpose BCI system BCI2000 (Schalk et al., 2004) provided visual stimuli to the patient, acquired brain signals from the Synamps2 system, and also recorded the flexion of individual fingers (on the hand contralateral to the implanted grid) using a data glove (Fifth Dimension Technologies”
A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns (2010, methodology): “The general-purpose BCI software platform BCI2000 (Schalk et al., 2004) controlled stimulus presentation, data collection, and online processing.”
The BCI competition III: validating alternative approaches to actual BCI problems (2006, methodology): “This data set represents a complete record of P300 evoked potentials (five sessions from two subjects) recorded with the BCI2000 software [19], using a paradigm described in [20] and originally by Farwell and Donchin [21].”
Multiple Operator-valued Kernel Learning (2012, methodology): “ECoG signals of the subject were recorded at a 1KHz sampling using BCI2000 [28].”
A comparison of classification techniques for the P300 Speller (2006, methodology): “All aspects of data collection and experimental control were controlled by the BCI2000 system [12].”
Toward enhanced P300 speller performance. (2008, positive): “All aspects of data collection and experimental procedure were controlled by the BCI2000 system (Schalk et al., 2004).”
Decoding two-dimensional movement trajectories using electrocorticographic signals in humans (2007, methodology): “The signals were amplified, bandpass filtered between 0.15 and 200 Hz, digitized at 1000 Hz, and stored in BCI2000.”
Control of a humanoid robot by a noninvasive brain–computer interface in humans (2008, methodology): “Our imagebased interface was implemented using the general-purpose BCI2000 software [23].”