Detection of spontaneous class-specific visual stimuli with high temporal accuracy in human electrocorticography.
Most brain-computer interface classification experiments from electrical potential recordings have been focused on the identification of classes of stimuli or behavior where the timing of experimental parameters is known or pre-designated. Real world experience, however, is spontaneous, and to this end we describe an experiment predicting the occurrence, timing, and types of visual stimuli perceived by a human subject from electrocorticographic recordings. All 300 of 300 presented stimuli were correctly detected, with a temporal precision of order 20 ms. The type of stimulus (face/house) was correctly identified in 95% of these cases. There were approximately 20 false alarm events, corresponding to a late 2nd neuronal response to a previously identified event.
Miller
Kai J
KJ
Neurobiology & Behavior, Physics, University of Washington, Seattle, WA 98195, USA.
Hermes
Dora
D
Schalk
Gerwin
G
Ramsey
Nick F
NF
Jagadeesh
Bharathi
B
den Nijs
Marcel
M
Ojemann
Jeffrey G
JG
Rao
Rajesh P N
RP
D000465:Algorithms; D004562:Electrocardiography / Q000379:methods*; D005074:Evoked Potentials, Visual; D006801:Humans; D008297:Male; D010363:Pattern Recognition, Automated; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014584:User-Computer Interface; D014793:Visual Cortex / Q000503:physiopathology*