Convolutional Neural Networks for P300 Detection with Application to Brain-Computer Interfaces
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[1] U. Hoffmann,et al. Application of the evidence framework to brain-computer interfaces , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[2] E Donchin,et al. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[3] Y. LeCun,et al. Learning methods for generic object recognition with invariance to pose and lighting , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..
[4] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[5] M Congedo,et al. A review of classification algorithms for EEG-based brain–computer interfaces , 2007, Journal of neural engineering.
[6] G Pfurtscheller,et al. Using time-dependent neural networks for EEG classification. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[7] E. W. Sellers,et al. Toward enhanced P300 speller performance , 2008, Journal of Neuroscience Methods.
[8] Alain Rakotomamonjy,et al. BCI Competition III: Dataset II- Ensemble of SVMs for BCI P300 Speller , 2008, IEEE Transactions on Biomedical Engineering.
[9] Yoshua Bengio,et al. Scaling learning algorithms towards AI , 2007 .
[10] Joydeep Ghosh,et al. HMMs and Coupled HMMs for multi-channel EEG classification , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).
[11] J. van Leeuwen,et al. Neural Networks: Tricks of the Trade , 2002, Lecture Notes in Computer Science.
[12] Patrice Y. Simard,et al. High Performance Convolutional Neural Networks for Document Processing , 2006 .
[13] Charles W. Anderson,et al. Determining Mental State from EEG Signals Using Parallel Implementations of Neural Networks , 1995, Sci. Program..
[14] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[15] T. Felzer,et al. Analyzing EEG signals using the probability estimating guarded neural classifier , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[16] G. Pfurtscheller,et al. Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.
[17] G.F. Inbar,et al. An improved P300-based brain-computer interface , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[18] Christa Neuper,et al. Hidden Markov models for online classification of single trial EEG data , 2001, Pattern Recognit. Lett..
[19] Klaus-Robert Müller,et al. Machine learning for real-time single-trial EEG-analysis: From brain–computer interfacing to mental state monitoring , 2008, Journal of Neuroscience Methods.
[20] H. Flor,et al. A spelling device for the paralysed , 1999, Nature.
[21] Klaus-Robert Müller,et al. Efficient BackProp , 2012, Neural Networks: Tricks of the Trade.
[22] Hubert Cecotti,et al. Time Delay Neural Network with Fourier transform for multiple channel detection of Steady-State Visual Evoked Potentials for Brain-Computer Interfaces , 2008, 2008 16th European Signal Processing Conference.
[23] Gert Pfurtscheller,et al. Neural network based classification of single-trial EEG data , 1993, Artif. Intell. Medicine.
[24] Laurent Bougrain,et al. Averaging techniques for single-trial analysis of oddball event-related potentials , 2008 .
[25] Gabriel Curio,et al. MACHINE LEARNING TECHNIQUES FOR BRAIN-COMPUTER INTERFACES , 2004 .
[26] H. Lüders,et al. American Electroencephalographic Society Guidelines for Standard Electrode Position Nomenclature , 1991, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[27] Jonathan R Wolpaw,et al. Brain–computer interface systems: progress and prospects , 2007, Expert review of medical devices.
[28] L. Cohen,et al. Brain–computer interfaces: communication and restoration of movement in paralysis , 2007, The Journal of physiology.
[29] N. Birbaumer,et al. BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.
[30] A Kostov,et al. Parallel man-machine training in development of EEG-based cursor control. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[31] K.-R. Muller,et al. The Berlin brain-computer interface: EEG-based communication without subject training , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[32] 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.
[33] Somsak Sukittanon,et al. Convolutional networks for speech detection , 2004, INTERSPEECH.
[34] Gert Pfurtscheller,et al. Neural network-based predictions of hand movements using simulated and real EEG data , 1995, Neurocomputing.
[35] Jiri Matas,et al. On Combining Classifiers , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[36] G. Pfurtscheller,et al. The BCI competition III: validating alternative approaches to actual BCI problems , 2006, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[37] Klaus-Robert Müller,et al. Classifying Single Trial EEG: Towards Brain Computer Interfacing , 2001, NIPS.
[38] J. Wolpaw,et al. Toward enhanced P 300 speller performance , 2007 .
[39] Patrice Y. Simard,et al. Best practices for convolutional neural networks applied to visual document analysis , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..
[40] K. Shimohara,et al. EEG topography recognition by neural networks , 1990, IEEE Engineering in Medicine and Biology Magazine.
[41] U. Hoffmann,et al. A Boosting Approach to P300 Detection with Application to Brain-Computer Interfaces , 2005, Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005..
[42] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[43] E. Donchin,et al. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. , 1988, Electroencephalography and clinical neurophysiology.
[44] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.