Publications
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Filters: Keyword is Male and Author is Jeremy Jeremy Hill [Clear All Filters]
. A practical, intuitive brain-computer interface for communicating 'yes' or 'no' by listening. J Neural Eng [Internet]. 2014;11(3):035003. http://www.ncbi.nlm.nih.gov/pubmed/24838278
A practical, intuitive brain-computer interface for communicating 'yes' or 'no' by listening.pdf (807.65 KB)
A practical, intuitive brain-computer interface for communicating 'yes' or 'no' by listening.pdf (807.65 KB). Causal influence of gamma oscillations on the sensorimotor rhythm. Neuroimage [Internet]. 2011;56(2):837-42. http://www.ncbi.nlm.nih.gov/pubmed/20451626 Causal influence of gamma oscillations on the sensorimotor rhythm.pdf (949.65 KB)
Causal influence of gamma oscillations on the sensorimotor rhythm.pdf (949.65 KB). Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery. J Neural Eng [Internet]. 2011;8(3):036005. http://www.ncbi.nlm.nih.gov/pubmed/21474878 Closing the sensorimotor loop haptic feedback facilitates decoding of motor imagery.pdf (1.81 MB)
Closing the sensorimotor loop haptic feedback facilitates decoding of motor imagery.pdf (1.81 MB). Transition from the locked in to the completely locked-in state: a physiological analysis. Clin Neurophysiol [Internet]. 2011;122(5):925-33. http://www.ncbi.nlm.nih.gov/pubmed/20888292 Transition from the locked in to the completely locked-in state a physiological analysis.pdf (1.46 MB)
Transition from the locked in to the completely locked-in state a physiological analysis.pdf (1.46 MB). Voluntary brain regulation and communication with electrocorticogram signals. Epilepsy Behav [Internet]. 2008;13(2):300-6. http://www.ncbi.nlm.nih.gov/pubmed/18495541 Voluntary brain regulation and communication with electrocorticogram signals.pdf (1.45 MB)
Voluntary brain regulation and communication with electrocorticogram signals.pdf (1.45 MB). Classifying EEG and ECoG signals without subject training for fast BCI implementation: comparison of nonparalyzed and completely paralyzed subjects. IEEE Trans Neural Syst Rehabil Eng [Internet]. 2006;14(2):183-6. http://www.ncbi.nlm.nih.gov/pubmed/16792289 Classifying EEG and ECoG signals without subject training for fast BCI implementation comparison of nonparalyzed and completely paralyzed subjects.pdf (56.97 KB)
Classifying EEG and ECoG signals without subject training for fast BCI implementation comparison of nonparalyzed and completely paralyzed subjects.pdf (56.97 KB)