Computation of component image velocity from local phase information
International Journal of Computer Vision
Ten lectures on wavelets
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
IEEE Transactions on Neural Networks
Dissociable neural effects of long-term stimulus-reward pairing in macaque visual cortex
Journal of Cognitive Neuroscience
IEEE Transactions on Neural Networks
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Comparison of classification methods for P300 brain-computer interface on disabled subjects
Computational Intelligence and Neuroscience - Special issue on Selected Papers from the 4th International Conference on Bioinspired Systems and Cognitive Signal Processing
Brain-computer interface research at Katholieke Universiteit Leuven
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Feasibility of error-related potential detection as novelty detection problem in p300 mind spelling
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part II
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Single-trial decoding of brain recordings is a real challenge, since it pushes the signal-to-noise ratio issue to the limit. In this paper, we concentrate on the single-trial decoding of stimulus-reward pairing from local field potentials (LFPs) recorded chronically in the visual cortical area V4 of monkeys during a perceptual conditioning task. We developed a set of physiologically meaningful features that can classify and monitor the monkey's training performance. One of these features is based on the recently discovered propagation of waves of LFPs in the visual cortex. Time-frequency features together with spatial features (phase synchrony and wave propagation) yield, after applying a feature selection procedure, an exceptionally good single-trial classification performance, even when using a linear classifier.