Learning from M/EEG Data with Variable Brain Activation Delays
暂无分享,去创建一个
Wojciech Zaremba | Matthew B. Blaschko | M. Pawan Kumar | Alexandre Gramfort | Wojciech Zaremba | Alexandre Gramfort | M. P. Kumar
[1] Ron Kikinis,et al. Markov random field segmentation of brain MR images , 1997, IEEE Transactions on Medical Imaging.
[2] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[3] Tzyy-Ping Jung,et al. Imaging brain dynamics using independent component analysis , 2001, Proc. IEEE.
[4] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[5] Jens Haueisen,et al. Functional Brain Imaging with M/EEG Using Structured Sparsity in Time-Frequency Dictionaries , 2011, IPMI.
[6] Gert R. G. Lanckriet,et al. On the Convergence of the Concave-Convex Procedure , 2009, NIPS.
[7] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[8] Seungjin Choi,et al. Independent Component Analysis , 2009, Handbook of Natural Computing.
[9] J. Polich. Updating P300: An integrative theory of P3a and P3b , 2007, Clinical Neurophysiology.
[10] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Théodore Papadopoulo,et al. Adaptive Time-Frequency Models for Single-Trial M/EEG Analysis , 2007, IPMI.
[12] Yongjian Chen,et al. ICA based multiple brain sources localization , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[13] Klaus-Robert Müller,et al. The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials , 2004, IEEE Transactions on Biomedical Engineering.
[14] Thorsten Joachims,et al. Learning structural SVMs with latent variables , 2009, ICML '09.
[15] Alan L. Yuille,et al. The Concave-Convex Procedure , 2003, Neural Computation.
[16] Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
[17] M. Thulasidas,et al. Robust classification of EEG signal for brain-computer interface , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[18] Radford M. Neal,et al. Multiple Alignment of Continuous Time Series , 2004, NIPS.
[19] C. Woody. Characterization of an adaptive filter for the analysis of variable latency neuroelectric signals , 1967, Medical and biological engineering.