Neural Interface Technology Research and Optimization Lab

Recent Publications

Massively parallel signal processing using the graphics processing unit for real-time brain–computer interface feature extraction (Tue, 29 Sep 2009 05:43:46 +0000)

PDF Wilson JA, Williams JC Abstract: The clock speeds of modern computer processors have nearly plateaued in the past 5 years. Consequently, neural prosthetic systems that rely on processing large quantities of data in a short period of time face a bottleneck, in that it may not be possible to process all of the data recorded from [...]

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Positioning and guidance of neurons on gold surfaces by directed assembly of proteins using Atomic Force Microscopy (Sat, 18 Apr 2009 00:33:13 +0000)

PDF Staii C, Viesselmann C, Ballweg J, Shi L, Liu GY, Williams JC, Dent EW, Coppersmith SN, Eriksson MA. Abstract: We demonstrate that Atomic Force Microscopy nanolithography can be used to control effectively the adhesion, growth and interconnectivity of cortical neurons on Au surfaces. We demonstrate immobilization of neurons at well-defined locations on Au surfaces using two [...]

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Two-dimensional movement control using electrocorticographic signals in humans (Mon, 04 Feb 2008 15:49:04 +0000)

PDF G Schalk, K J Miller, N R Anderson, J A Wilson, M D Smyth, J G Ojemann, D W Moran, J R Wolpaw and E C Leuthardt Abstract. We show here that a brain–computer interface (BCI) using electrocorticographic activity (ECoG) and imagined or overt motor tasks enables humans to control a computer cursor in two dimensions. [...]

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Neural Interfaces Research at UW-Madison

The Neural Interface Technology Research and Optimization (NITRO) Laboratory is part of the Department of Biomedical Engineering at the University of Wisconsin-Madison. The goals of our lab are to 1) develop new devices for recording from and stimulating neural tissue, 2) design these devices to be both durable for long-term implantation and safe for use in humans and animals, and 3) use these technologies in a variety of situations, from use in a basic physiology lab recording from single neurons, to clinical settings where people with motor disabilities might benefit from a brain-computer interface or other neural prosthetic communication device.

Spotlight on: The Brain-Twitter Interface (April 20, 2009)

Update: Here are links to the media coverage we have been receiving. Check back for more updates!

NPR
CNN
MSNBC
Newsweek
http://www.news.wisc.edu/16576
Ron Reagan Show
http://wistechnology.com/articles/5959/
Hack a day
Engadget
http://www.mediabistro.com/prnewser/on/mindmeld_with_twitter_now_a_reality_114502.asp
WIRED
Here is audio from our interview with Shamane Mills on Monday, April 20. Audio.

Here is an updated video of a new subject trying the BCI-Twitter system for the first time.

Our research on using brain waves to send messages to Twitter was recently featured in the press. See http://www.news.wisc.edu/16576 for the full press release. A short demonstration video is available below. You can follow us at http://twitter.com/uwbci. A version of the video without text overlays can be found HERE

Here is an example of our brain-computer interface that we integrated with the Dasher spelling system. This video is a few years old, and does not connect to Twitter, but it is another example of the kinds of projects we are working on.

Recent News

Brain-Twitter Interface Story on Wisconsin Public Radio (Wed, 22 Apr 2009 04:44:30 +0000)

Audio from our interview with Shamane Mills, from Wisconsin Public Radio. wpr-shamane-mills4202009

Media: audio/mpeg (725226 bytes)

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Brain-Twitter Interface (Mon, 20 Apr 2009 06:00:01 +0000)

In early April, Adam Wilson posted a status update on the social networking website Twitter—just by thinking about it. Just 23 characters long, his message, “using EEG to send tweet,” demonstrates a natural, manageable way in which “locked-in” patients can couple brain-computer interface technologies with modern communication tools. A University of Wisconsin-Madison biomedical engineering doctoral student, Wilson [...]

Media: video/quicktime (9237233 bytes)

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MIT Technology Review (Tue, 25 Nov 2008 01:51:44 +0000)

Two NITRO areas of research were recently featured on the MIT Technology Review website, seen here: Less-Invasive Brain Interfaces Tongue Control The original posters that these articles are based on can be found in the Publications section of our website.

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