Bridging the gap between human and machine minds. Post latest research, news and events in the field of BMI. Join us to stay up-to-date on the recent advances in your field. Participate in creative discussions.
Members: 120
Latest Activity: May 3
Welcome to the Brain-Machine Interfaces group!
This group is dedicated to a rapidly developing set of technologies - commonly known as brain-machine interfaces (BMI) - with a broad span of nearly-futuristic applications. Currently it allows for:
Future applications include:
How do Brain-Machine Interfaces work?
If you're interested in how current BMIs work, visit this page How Brain-computer Interfaces Work. And of course, there are lots of information on history and recent developments in BMI on Wikipedia page.
For more in-depth information, see the following list of scientific papers. I've separated them into categories. "Review papers" are general articles that describe various BMI developed by the time the article was written. Other papers describe specific approaches to BMI.
Review papers
2006 | Lebedev A, Nicolelis MA | Trends in Neurosciences
Brain-machine interfaces: past, present and future
2002 | Wolpaw J, Birbaumer N, McFarland D | Clinical Neurophysiology | recommended
Brain-computer interfaces for communication and control
2002 | Donoghue JP | Nature Neuroscience
Connecting cortex to machines: recent advances in brain interfaces
2000 | Heetderks WJ, McFarland DJ, et al | IEEE Transactions on Rehabilitation Engineering
Brain-computer interface technology: a review of the first international meeting
P300 spellers
This type of BMI (used in e.g. Intendix system) looks like an on-screen keyboard that allows you to type text by the power of thought.
2008 | U Hoffmann, JM Vesin, T Ebrahimi, et al | Journal of Neuroscience Methods
An efficient P300-based brain-computer interface for disabled subjects
2006 | EW Sellers, E Donchin | Clinical Neurophysiology
A P300-based brain-computer interface: Initial tests by ALS patients
2006 | DJ Krusienski, EW Sellers, et al | Journal of Neural Engineering
A comparison of classification techniques for the P300 speller
1988 | Farwell LA, Donchin E. | Electroencephalography and Clinical Neurophysiology
Talking off the top of your head: toward a mental prothesis utilizing event-related brain potentials.
Paper pioneering the P300 approach to BMI
Other approaches
2008 | Velliste M, Perel S, et al | Nature
Cortical control of a prosthetic arm for self-feeding
2006 | Hochberg L, Serruya M, et al | Nature
Neuronal ensemble control of prosthetic devices by a human with tetraplegia
2005 | EC Lalor, SP Kelly, et al | EURASIP Journal on Applied Signal Processing
Steady-state VEP-based brain-computer interface control in an immersive 3D gaming environment
2004 | Wolpaw J, McFarland D | PNAS
Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
2003 | X Gao, D Xu, M Cheng, et al | Neural Systems and Rehabilitation Engineering, IEEE Transactions on
A BCI-based environmental controller for the motion-disabled
2003 | Carmena JM, Lebedev MA, et al. | PLoS Biology
Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates
Another good list of research papers on BMI topic can be found here
The new Enobio wireless EEG system has just been launched. Now comes with 8 or 20 channels, wet or dry electrodes, CE Medical and BCI 2000 & OpenVIBE integration, check it out here: EnobioContinue
Tags: Mobile, Devices, Telemedicine, Health, Neuroscience
Started by Stephen Dunne May 3.
Hyper-Interaction Viability Experiments Workshophttp://hive-eu.org/hive2012/homeCould computers someday interact directly with the human brain? This is the motto of the HIVE project. The…Continue
Started by Aureli Soria-Frisch. Last reply by Aureli Soria-Frisch Mar 12.
Comment
Comment by Raphaëlle N. Roy on April 13, 2012 at 3:29am Hello! I am currently working on passive BCIs as a PhD student in France and I am glad to join the NeuroNetwork and your group on BCI!
Brain-Computer Interface Allows Users to Navigate Virtual SpaceJust like the BCI-controlled bicycles and cars that we covered back in August, the Minnesota team used an EEG cap – a net of 64 electrodes on the scalp that measure brain waves — and some complex software to work out, in real time, what maneuver the helicopter pilot is trying to perform. To do this, each test subject had to train the system to his individual brain waves by repeatedly moving a cursor on a screen, by thinking about moving his arms, legs, and tongue. The software was also slightly customized for each subject, to increase accuracy.(via Brain-computer interfaces creep closer to bionic, mecha dream | Ext...)Then, when everything is calibrated and ready to go, the test subjects can fly the virtual helicopter in a continuous, real-time manner. By imagining moving both hands, the helicopter goes forward; imagine both hands staying still, and the helicopter stops. To rotate, the subject moves a left or right hand. Gaining altitude is achieved by thinking about moving your tongue — and you use your feet to descend. As you can see in the video below, this approach is surprisingly fast and mind-blowingly accurate.


Comment by Pratik Yashvant Chhatbar on April 15, 2011 at 3:11pm
Comment by Abdulrahman J Sabbagh on April 15, 2011 at 4:46am Dear Alexandra
Wow! Great articel, actually inspiring
Thanks for sharing
researchers from the University of California in San Diego have developed a Bluetooth device that allows the wearer to dial a phone by concentrating on the numbers they would normally just input manually. Their experimental device was the subject of a recent study, published in the Journal of Neural Engineering [source]
Comment by Brendan Allison on April 14, 2011 at 1:28pm Hello,
@Alexandra: Yes, I will speak there. I was also a speaker at their 2008 conference, which was very well organized. I definitely recommend their conference next month!
© 2012 Created by Springer.

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