seminars & bulletins

2009-2010
PBIO SEMINAR SERIES

THURSDAYS in
G-328
10:30am (unless otherwise noted)
Refreshments follow the seminar

pbio news

pbio special events

general notices

health sciences bulletin

seminar series archives

2008-2009
2007-2008
2006-2007
2005-2006
2004-2005
2003-2004

pbio seminars rss feed
hs bulletin rss feed

 

 


PBIO SEMINAR SERIES

Volitional control of neural activity and recurrent brain-computer interfaces

Wednesday - January 09, 2008
07-08 SEMINAR SERIES

Eberhard Fetz

University of Washington
Speaker's website

Host: Greg Horwitz

A variety of brain-computer interfaces [BCI] have been developed to transform neural activity into signals that control a computer cursor or other external devices. Effective BCI control depends significantly on the ability of the subject to modify neural activity appropriately. Volitional modulation of neural activity is evident in many conventional experimental paradigms, and the degree of neural control has been directly tested in biofeedback experiments and BCI applications. While the usual BCI paradigm involves brain control of external devices, a recurrent BCI [R-BCI] generates output that is fed back into the nervous system or muscles. We are investigating an implantable R-BCI consisting of autonomously operating electronic circuitry, including a computer chip that interacts continuously with the brain of a monkey. The so-called “Neurochip” can document the activity of motor cortex cells and arm muscles during free behavior and sleep, storing this activity for subsequent download via an infrared port. In a recurrent mode, the Neurochip can convert cell activity to electrical stimuli delivered back to the spinal cord or muscles, implementing neurally controlled functional electrical stimulation. The R-BCI has also converted motor cortex cell activity into stimuli delivered at an adjacent cortical site. Continuous operation of such spike-triggered stimulation for a day or two generated long-lasting changes in connections between the synchronized sites. The R-BCI paradigm has numerous potential applications, depending on the input signals, the computed transform and the output targets.