Links

BCI and EEG Software

• OpenVibe - An open source software platform for performing real-time BCI and neuroscience experiments, written mostly in C++.
• BCI2000 - A software platform for performing real-time BCI experiments, written mostly in C++.
• EEGLAB - An open source environment for electrophysiological signal processing using MATLAB.
• FieldTrip -  A software toolbox for MEG and EEG analysis using MATLAB.
• Statistical Parametric Mapping (SPM) - Software for analysis of brain imaging data sequences, written in MATLAB.
• Current Source Density (CSD) Toolbox - A software library for estimating EEG surface potentials using spherical splines and surface Laplacians, written in MATLAB.

Research Groups

• Wadsworth Center - A BCI and Neuroscience research labratory in Albany, NY.
• Project Unlock - A multi-university BCI research project.

Introductory Material

• Brain-computer interfaces for communication and control, by Wolpaw, et al., 2002, Clinical Neurophysiology, vol. 113, issue 6, June 2002, pages 767-791.
• BCI2000: A General-Purpose Brain-Computer Interface (BCI) System, by Schalk, McFarland, Hinterberger, Birbaumer, and Wolpaw.
• Special Issue on BCI, of IEEE Transactions on Neural Systems and Rehabilitiation.

Popular Press

• Google BCI News Feed
• Computer Science team connects mind and machine, by Erik Schmidt, in the Coloradoan, 04/20/2014
• Making fantasy a reality, by Remi Boudreau, in The Rocky Mountain Collegian, 03/12/2014
• Think about it: CSU research could turn brain waves into remote control, by Jaren Auge, in The Denver Post, 11/05/2011
• Researchers obtain $1.2 million to improve brain-computer interface for people with motor impairments, by Emily Wilmsen, in Today@Colorado State University, 11/17/2011
• I Think, Therefore I Communicate, By Lakshmi Sandha, in Wired News, July 30, 2003.
• The Fall, 2002 issue of the Outlook Magazine of the Colorado State University College of Natural Sciences describes our BCI project.

Error-Related Negativity

• Adaptive Brain Computer-Interface for Augmented Cognition and Action, lab at Columbia. Paper on using ERN is here. They also have interesting paper on linear methods.

Research Groups

• Map of BCI Research Labs
• Swiss Federal Institute of Technology (EPFL), Lausanne-Switzerland
• BCI project at Neil Squire Foundation,
• Berlin Brain-Computer Interface group, includes papers on common spatial patterns (CSP) for imagined movement tasks
• Rodrigo Quian Quiroga, at California Institute of Technology, works with nonlinear analysis of time series, including synchronization, wavelet decompostion and denoising. Includes code and data.

Industry

• Cyberkinetics, Inc., developing an implant for BCI, Foxboro, MA,
• Neural Signals, Inc., Atlanta, GA
• Brain Actuated Technologies, Inc., Yellow Springs, Ohio
• Guger Technologies, Graz, Austria

Devices

• The Psychomouse, at NIIT

BCI Applications

• Brain-Actuated Interaction, Millan, et al., Artificial Intelligence, Vol 159, issues 1-2, Nov 2004, pages 241-259,
• Temporal Analysis of EEG patterns in a bio-feedback based Brain Computer Interface, by David Starling. Games, including Pong. Uses autoregressive representation.

Data

• Artefact Database of the Sleep EEG, maintained by Alois Schl�gl.

Word recognition

• Brain-wave recognition of words, Suppes, P., Lu, Z.-L. & Han, B., Proceedings of National Academy of Science, USA, 94, 14965-14969, 1997.
• Brain-wave recognition of short sentences., Suppes, P, Han, B. & Lu, Z.-L., Proceedings of National Academy of Science, USA, 95, 15861-15866, 1998.

EEG in Patients

• Is there a Mind? Electrophysiology of Unconscious Patients, Kotchoubey, Lang, Bostanov, Birbaumer, News Physiol Sci 17: 38-42, 2002.

MSF, CCA, PLS, PCA, CSP, etc

• Generalizing Discriminant Analysis Using Generalized Singular Value Decomposition< Howland and Park, IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 8, August 2004.
• Enhancing Brain-Computer Interfaces by Machine Learning Techniques, talk by Blankertz, et al.,
• Kernel PLS-SVC for Linear and Nonlinear Classification, ICML 2003. Compare CCA, PLS, PCA, SVM, for data including finger movement data.
• Partial least squares for discrimination. J Chemometrics. 2003 Mar;17:166-173.

Electrocorticographic Signals

• A brain-computer interface using electrocorticographic signals in humans, Leuthardt, Schalk, Wolpaw, and Ojemann, 2004 J. Neural Eng. 1 63-71.

Signal Processing

• Piotr Durka, Warsaw University, has papers and tutorial on his Directed Transfer Function.
• DSP Software at Rice University

Detecting Synchronization in Multiple Time Series

• Publications by Joydeep Bhattacharya, includes experiments with EEG. Discusses a nearest-neighbors approach and develops the "predictability improvement" method.
• Publications by Michael Rosenblum, on detecting phase locking in noisy data. Includes discussion of the difference between coherence and synchronization.
• Rodrigo Quian Quiroga, includes publications, data, and software. Compares methods based in mutual information, Hilbert transform, wavelets, and others using EEG.

Multiscale

• Multiscale evidence of multiscale brain communication, talk by Scott Makeig, May 2004.

Bayesian Methods

• Papers by Mathew Beal,
• Variational Bayes Site

Ethics

• Center for Cognitive Liberty & Ethics ,
• Some fear loss of privacy as science pries into brain, by Carey Goldberg, Boston Globe, 5/1/2003

Programming Tools

• Matwrap: a wrapper generator for matrix languages