@inbook {3548,
	title = {Near-Instantaneous Classification of Perceptual States from Cortical Surface Recordings},
	booktitle = {Brain-Computer Interface Research: A State-of-the-Art Summary},
	year = {2015},
	pages = {105-114},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {New York City, NY},
	abstract = {Human visual processing is of such complexity that, despite decades of focused research, many basic questions remain unanswered. Although we know that the inferotemporal cortex is a key region in object recognition, we don{\textquoteright}t fully understand its physiologic role in brain function, nor do we have the full set of tools to explore this question. Here we show that electrical potentials from the surface of the human brain contain enough information to decode a subject{\textquoteright}s perceptual state accurately, and with fine temporal precision. Electrocorticographic (ECoG) arrays were placed over the inferotemporal cortical areas of seven subjects. Pictures of faces and houses were quickly presented while each subject performed a simple visual task. Results showed that two well-known types of brain signals{\textemdash}event-averaged broadband power and event-averaged raw potential{\textemdash}can independently or together be used to classify the presented image. When applied to continuously recorded brain activity, our decoding technique could accurately predict whether each stimulus was a face, house, or neither, with ~20 ms timing error. These results provide a roadmap for improved brain-computer interfacing tools to help neurosurgeons, research scientists, engineers, and, ultimately, patients.},
	keywords = {broadband power, Electrocorticography, event-related potential, fusiform cortex, human vision},
	isbn = {978-3-319-25188-2},
	issn = {978-3-319-25190-5},
	doi = {10.1007/978-3-319-25190-5_10},
	url = {http://link.springer.com/chapter/10.1007/978-3-319-25190-5_10},
	author = {Miller, Kai J and Gerwin Schalk and Hermes, Dora and Ojemann, Jeffrey G and Rao, Rajesh P N}
}
@article {3416,
	title = {Proceedings of the Fifth International Workshop on Advances in Electrocorticography.},
	journal = {Epilepsy Behav},
	volume = {41},
	year = {2014},
	month = {12/2014},
	pages = {183-92},
	abstract = {<p>The Fifth International Workshop on Advances in Electrocorticography convened in San Diego, CA, on November 7-8, 2013. Advancements in methodology, implementation, and commercialization across both research and in the interval year since the last workshop were the focus of the gathering. Electrocorticography (ECoG) is now firmly established as a preferred signal source for advanced research in functional, cognitive, and neuroprosthetic domains. Published output in ECoG fields has increased tenfold in the past decade. These proceedings attempt to summarize the state of the art.</p>},
	keywords = {Brain Mapping, brain-computer interface, electrical stimulation mapping, Electrocorticography, functional mapping, Gamma-frequency electroencephalography, High-frequency oscillations, Neuroprosthetics, Seizure detection, Subdural grid},
	issn = {1525-5069},
	doi = {10.1016/j.yebeh.2014.09.015},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/25461213},
	author = {A L Ritaccio and Peter Brunner and Gunduz, Aysegul and Hermes, Dora and Hirsch, Lawrence J and Jacobs, Joshua and Kamada, Kyousuke and Kastner, Sabine and Robert T. Knight and Lesser, Ronald P and Miller, Kai and Sejnowski, Terrence and Worrell, Gregory and Gerwin Schalk}
}
