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SUMMARY:Applications of recurrent brain-computer interfaces
DTSTART:20110526T121500
DTSTAMP:20260406T194623Z
UID:7c8453bd6483811ce84af8baa277a1289732fc04eed6122f24527897
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Eberhard E. Fetz\, University of Washington\, Seattle\, 
 USA\nAbstract : We are investigating the consequences of bidirectional con
 nections produced by an autonomous implantable recurrent brain-computer in
 terface [R-BCI] that operates continuously during free behavior and genera
 tes activity-dependent stimulation of the brain or muscles. This so-called
  “Neurochip” consists of battery-powered electronics connected to elec
 trodes that record the activity of motor cortex cells and/or muscles. The 
 neural activity is processed by a programmable computer chip and can be co
 nverted in real-time to activity-contingent electrical stimuli delivered t
 o nervous system sites or muscles (Mavoori et al\, J. Neurosci. Meth.\, 20
 05). A promising application is to bridge impaired biological connections\
 , a paradigm recently demonstrated for cortically controlled electrical st
 imulation of paralyzed forearm muscles (Moritz et al\, Nature\, 2008).  Th
 is study showed that learning volitional control of neural activity that d
 irectly activates muscles is a promising alternative to the traditional de
 coding of neural populations for BCI control. A second application of the 
 R-BCI is to produce Hebbian synaptic plasticity through spike-triggered st
 imulation\, which can strengthen physiological connections (Jackson et al\
 , Nature\, 2006). Recent work has shown that similar plastic changes can b
 e produced by EMG-triggered cortical stimulation and in the strength of co
 rticospinal connections by cortically triggered intraspinal stimulation. T
 he novel R-BCI paradigm has numerous potential applications\, depending on
  the input signals\, the computed transform and the output targets.
LOCATION:SV 1717A
STATUS:CONFIRMED
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