%0 Conference Proceedings %B Conf Proc IEEE Eng Med Biol Soc %D 2009 %T Detection of spontaneous class-specific visual stimuli with high temporal accuracy in human electrocorticography. %A Miller, John W %A Hermes, Dora %A Gerwin Schalk %A Ramsey, Nick F %A Jagadeesh, Bharathi %A den Nijs, Marcel %A Ojemann, J G %A Rao, Rajesh P N %K Algorithms %K Electrocardiography %K Evoked Potentials, Visual %K Humans %K Male %K Pattern Recognition, Automated %K Pattern Recognition, Visual %K Photic Stimulation %K Reproducibility of Results %K Sensitivity and Specificity %K User-Computer Interface %K Visual Cortex %X 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. %B Conf Proc IEEE Eng Med Biol Soc %V 2009 %P 6465-8 %8 2009 %G eng %R 10.1109/IEMBS.2009.5333546