EEGLAB - Open Source Matlab Toolbox for Electrophysiological Research

EEGLAB provides an interactive graphic user interface (GUI) allowing users to flexibly and interactively process their high-density EEG and other dynamic brain data using independent component analysis (ICA) and/or time/frequency analysis (TFA), as well as standard averaging methods. EEGLAB also incorporates extensive tutorial and help windows, plus a command history function that eases users' transition from GUI-based data exploration to building and running batch or custom data analysis scripts. EEGLAB offers a wealth of methods for visualizing and modeling event-related brain dynamics, both at the level of individual EEGLAB 'datasets' and/or across a collection of datasets brought together in an EEGLAB 'studyset.' For experienced Matlab users, EEGLAB offers a structured programming environment for storing, accessing, measuring, manipulating and visualizing event-related EEG data. EEGLAB Statistics EEGLAB Workshops EEGLAB Development Feedback?

A13: Compiled EEGLAB - SCCN As of version 7.1.2.10b, EEGLAB now exist as a compiled binary. Although the compiling function (compile_eeglab.m) should allow to compile EEGLAB on any platform, we only make available the Windows OS (32-bit) binary since this is the most popular platform. We have also successfully compiled EEGLAB under Linux 32 and 64 bits. Installation Download the ZIP file and uncompress it Run the SETUP.BAT program and follow instructions. If EEGLAB does not start at the end of the instalation process, click on EEGLAB.EXE Create shortcuts if necessary on the Desktop and in the "Start" menu. Similarity between the compiled and the Matlab version Both version graphical interface are identical There is nothing in the graphic interface that you can do under Matlab, that is not possible to do in the compiled version. What is not possible to do using the compiled version Frequently asked questions

Arduino-Brain-Library cufón - fonts for the people EEGLAB Tutorial: Table of Contents A1. Dataset data structures A2. Maximizing memory A3. How to contribute to EEGLAB A4. The DIPFIT plug-in: Equivalent dipole source localization A5. The MI-clust plug-in: Clustering dataset ICs using mutual information Detailed tutorial outline Download the full tutorial in pdf on this page I. What is EEGLAB? 1.1. 2. 2.1. 3. 4.1. 5. 5.1. 6. 6.1. 7. 7.1. 8. 8.1. 9. 9.1. 10. 10.1. 11. 11.1. 12. 1. 1.1. 2. 2.1. 3. 3.1. 4. 4.1. 5. 5.1.

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. 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). 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. The designers have done their best to create a safe device, but knowing whether the effort is good enough is a completely different matter (an $8000 matter actually). In other words, if you decide to build and use one -- the responsibility is yours.

Best of History Web Sites Part 1 Brain Mapping With EEGLAB and Emotiv Epoc headset & TestBench V1.5 This is a screen capture of my experiences creating brain maps with the Emotiv Epoc headset, Testbench V 1.5 and EEGLAB free open source software thus far. I am looking for constructive criticism, pointers and suggestions. I have just been trying to figure this out on my own for the last 2 weeks and have no prior expertise. EEGLAB | qEEG |

BCI2000 What is BCI2000? BCI2000 is a general-purpose system for brain-computer interface (BCI) research. It can also be used for data acquisition, stimulus presentation, and brain monitoring applications. Mission The mission of the BCI2000 project is to facilitate research and applications in the areas described above. Vision Our vision is that BCI2000 will become a widely used software tool for diverse areas of real-time biosignal processing. Availability The BCI2000 system is available for free for non-profit research and educational purposes. BCI2000 development has been sponsored by a NIH (NIBIB/NINDS) Bioengineering Research Partnership grant to Jonathan Wolpaw and a NIH (NIBIB) R01 grant to Gerwin Schalk.