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@article{Bottou,
author = {Léon Bottou and Olivier Bousquet},
title = {L'apprentissage statistique à grande échelle},
journal = {Modulad},
volume = {42},
year = {2010}
}
@article{Buttfield06,
title = {Towards a robust BCI: error potentials and online learning},
author = {Buttfield, A and Ferrez, PW and Millán, Jdel R.},
journal = {IEEE Trans Neural Syst Rehabil Eng.},
year = 2006,
volume = 14,
number = 2,
pages = {164-168}
}
@article{dalSeno10,
author = {Dal Seno, Bernardo and Matteucci, Matteo and Mainardi, Luca},
title = {Online detection of p300 and error potentials in a BCI speller},
journal = {Intell. Neuroscience},
issue_date = {January 2010},
volume = {2010},
month = {January},
year = {2010},
issn = {1687-5265},
articleno = {11},
numpages = {1},
acmid = {1840654},
publisher = {Hindawi Publishing Corp.},
address = {New York, NY, United States},
}
/*url = {http://dx.doi.org/10.1155/2010/307254},
doi = {http://dx.doi.org/10.1155/2010/307254},*/
@article{Falkenstein91,
title = "Effects of crossmodal divided attention on late ERP components. II. Error processing in choice reaction tasks",
journal = "Electroencephalography and Clinical Neurophysiology",
volume = "78",
number = "6",
pages = "447 - 455",
year = "1991",
note = "",
issn = "0013-4694",
doi = "10.1016/0013-4694(91)90062-9",
author = "M. Falkenstein and J. Hohnsbein and J. Hoormann and L. Blanke",
keywords = "Error processing",
keywords = "Divided attention",
keywords = "Choice reaction",
keywords = "Event-related potentials"
}
@Comment{url = "http://www.sciencedirect.com/science/article/pii/0013469491900629",}
@inproceedings{Congedo11,
hal_id = {hal-00641412},
title = {{"Brain Invaders": a prototype of an open-source P300- based video game working with the OpenViBE platform}},
author = {Congedo, Marco and Goyat, Matthieu and Tarrin, Nicolas and Ionescu, Gelu and Varnet, L{\'e}o and Rivet, Bertrand and Phlypo, Ronald and Jrad, Nisrine and Acquadro, Michael and Jutten, Christian},
abstract = {{We have developed the prototype of a pure-BCI video game based on the well known vintage video game "Space Invaders". In our "Brain Invaders" a number of aliens are displayed in a grid and the player has to destroy a particular alien, the target, only by concentrating on it. The game makes use of a stateof- the art P300 oddball paradigm to select the alien to be destroyed at a regular pace, based on current probabilities assigned to each alien by a learning machine continuously analyzing and classifying the user's electroencephalographic stream (the Open-ViBE platform). As compared to the standard P300- speller paradigm our game may optionally use: 1) flashing items in random groups and no longer by rows and columns; 2) variable inter-stimulus intervals drawn from an exponential distribution; 3) magnification of flashed target items. Preliminary tests show an excellent transfer rate, since starting with 36 aliens on the screen, one to three repetitions typically suffice to destroy the target
alien. Our development is completely open-source and will continue to improve further the signal processing and classification algorithms, besides the paradigm itself, the gameplay and the BCI ergonomy, in order to achieve a "Plug \& Play" video game suitable for the large public of gamers.}},
keywords = {Brain-Computer Interface; P300 speller; Space Invaders; Brain},
language = {Anglais},
affiliation = {Grenoble Images Parole Signal Automatique - GIPSA-lab},
booktitle = {{Proceedings of the 5th International Brain-Computer Interface Conference 2011}},
pages = {280-283},
address = {Graz, Autriche},
audience = {internationale },
year = {2011},
month = Sep,
pdf = {http://hal.archives-ouvertes.fr/hal-00641412/PDF/Congedo\_et\_al\_2011.pdf},
}
/*url = {http://hal.archives-ouvertes.fr/hal-00641412},*/
%% hal-00492800, version 1
%% http://hal.archives-ouvertes.fr/hal-00492800
@inproceedings{Torresani10,
hal_id = {hal-00492800},
title = {{Harmonic Hidden Markov Models for the Study of EEG Signals}},
author = {Torr{\'e}sani, Bruno and Villaron, Emilie},
abstract = {{A new approach for modelling multichannel signals via hidden states models in the time-frequency space is described. Multichannel signals are expanded using a local cosine basis, and the (time-frequency labelled) coefficients are modelled as multivariate random variables, whose distribution is governed by a (hidden) Markov chain. Several models are described, together with maximum likelihood estimation algorithms. The model is applied to electroencephalogram data, and it is shown that variance-covariance matrices labelled by sensor and frequency indices can yield relevant informations on the analyzed signals. This is examplified by a case study on the characterization of alpha waves desynchronization in the context of multiple sclerosis disease.}},
keywords = {Time-Frequency;Hidden Markov Chain;EEG signals},
language = {Anglais},
affiliation = {Laboratoire d'Analyse, Topologie, Probabilit{\'e}s - LATP},
booktitle = {{EUSIPCO 2010, European Signal Processing Conference}},
address = {Aalborg, Danemark},
year = {2010},
pdf = {http://hal.archives-ouvertes.fr/hal-00492800/PDF/1569292597.pdf},
}
/*url = {http://hal.archives-ouvertes.fr/hal-00492800},*/
@article{Farwell88,
title = "Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials",
journal = "Electroencephalography and Clinical Neurophysiology",
volume = "70",
number = "6",
pages = "510 - 523",
year = "1988",
note = "",
issn = "0013-4694",
doi = "10.1016/0013-4694(88)90149-6",
author = "L.A. Farwell and E. Donchin",
keywords = "P300",
keywords = "Event-related potential",
keywords = "Prosthesis",
keywords = "Self-help device",
keywords = "EEG"
}
/*url = "http://www.sciencedirect.com/science/article/pii/0013469488901496",*/
@article{Hoffmann08,
title = "An efficient P300-based brain-computer interface for disabled subjects",
journal = "Journal of Neuroscience Methods",
volume = "167",
number = "1",
pages = "115 - 125",
year = "2008",
issn = "0165-0270",
doi = "10.1016/j.jneumeth.2007.03.005",
author = "Ulrich Hoffmann and Jean-Marc Vesin and Touradj Ebrahimi and Karin Diserens",
keywords = "Brain-computer interface",
keywords = "P300",
keywords = "Disabled subjects",
keywords = "Fisher's linear discriminant analysis",
keywords = "Bayesian linear discriminant analysis"
}
/*url = "http://www.sciencedirect.com/science/article/pii/S0165027007001094",*/
@article{Hazan11,
author = {Elad Hazan and Satyen Kale},
title = {Newtron: an efficient bandit algorithm for online multiclass prediction},
journal = {Proceedings of the 24th International Conference on Advances in Neural Information Processing Systems (NIPS 2011)},
year = {2011}
}
@article{Kakade,
author = {Sham M. Kakade and Shai Shalev-Schwartz and Ambuj Tewari},
title = {Efficient Bandit Algorithms for Online Multiclass Prediction},
journal = {Proceedings of the 25th International Conference on Machine Learning},
year = {2008}
}
@article{Crammer11,
author = {Koby Crammer},
title = {Multiclass classification with bandit feedback using adaptive regularization},
journal = {Proceedings of the 28th International Conference on Machine Learning},
year = {2011}
}
@article{Krusienski08,
title = "Toward enhanced P300 speller performance",
journal = "Journal of Neuroscience Methods",
volume = "167",
number = "1",
pages = "15 - 21",
year = "2008",
issn = "0165-0270",
author = "D.J. Krusienski and E.W. Sellers and D.J. McFarland and T.M. Vaughan and J.R. Wolpaw",
}
/*url = "http://www.sciencedirect.com/science/article/pii/S0165027007003706",*/
@article{Daly12,
title ={Brain computer interface control via functional connectivity dynamics},
author = {Daly, Y and Nasuto, J and Warwick, K},
journal = {Pattern Recognition},
year = 2012,
volume = 45,
number = 6,
pages = {2123-2136}
}
@article{Ang12,
title ={Mutual information-based selection of optimal spatial-temporal patterns for single-trial EEG-based BCIs},
author = {Ang, KK and Chin, ZY and Zhang, H and Guan, C},
journal = {Pattern Recognition},
year = 2012,
volume = 45,
number = 6,
pages = {2137-2144},
}
@article{Cesa-Bianchi,
author = {Cesa-Bianchi, Nicol\`o and Conconi, Alex and Gentile, Claudio},
title = {On the Generalization Ability of On-Line Learning Algorithms},
journal = {IEEE Transactions On Information Theory},
volume = {50},
number = {9},
month = {September},
year = {2004}
}
@article{Kivinen08,
author = {Jyri Kivinen and Alexander J. Smola and Robert C. Williamson},
title = {Online Learning with Kernels},
journal = {IEEE Transactions On Signal Processing},
volume = {100},
number = {10},
day = {10},
month = {October},
year = {2008}
}
@inproceedings{Maby10,
title = {The openvibe p300-speller scenario: a thorough online evaluation},
author = {Maby, E. and Gibert, G. and Aguera, P.E. and Perrin, M. and Bertrand, O and Mattout, J.},
booktitle = {{Human Brain Mapping Conference 2010}},
address = {Barcelona, Spain},
year = {2010},
}
@article{Mason00,
author = {Mason, SG and Birch, GE},
title = {A brain-controlled switch for asynchronous control applications},
journal = {IEEE Trans Biomed Eng.},
volume = {47},
number = {10},
month = {October},
year = {2000},
pages = {15 - 21}
}
@article{Pfurtscheller1993,
title = "Brain-Computer Interface - a new communication device for handicapped persons",
journal = "Journal of Microcomputer Applications",
volume = "16",
number = "3",
pages = "293 - 299",
year = "1993",
issn = "0745-7138",
doi = "10.1006/jmca.1993.1030",
author = "Gert Pfurtscheller and Doris Flotzinger and Joachim Kalcher"
}
/*url = "http://www.sciencedirect.com/science/article/pii/S0745713883710304",*/
@article{Pfurtscheller1997,
title = "EEG-based discrimination between imagination of right and left hand movement",
journal = "Electroencephalography and Clinical Neurophysiology",
volume = "103",
number = "6",
pages = "642 - 651",
year = "1997",
note = "",
issn = "0013-4694",
doi = "10.1016/S0013-4694(97)00080-1",
author = "G. Pfurtscheller and Ch. Neuper and D. Flotzinger and M. Pregenzer"
}
/*url = "http://www.sciencedirect.com/science/article/pii/S0013469497000801",*/
IEEE Trans Biomed Eng. 2008 Mar;55(3):1147-54.
BCI competition III: dataset II- ensemble of SVMs for BCI P300 speller.
@article{Rakotomamonjy08,
author = {Rakotomamonjy, A and Guigue, V},
title = {BCI competition III: dataset II- ensemble of SVMs for BCI P300 speller},
journal = {IEEE Trans Biomed Eng.},
year = 2008,
volume = 55,
number = 3,
pages = {1147-1154}
}
@article{Bostanov04,
author = {Bostanov, V.},
title = {BCI competition 2003 - data sets Ib and IIb: feature extraction from event-related brain potentials with the continuous wavelet transform and the t-value scalogram},
journal = {IEEE Trans. Biomed. Eng.},
year = 2004,
volume = 51,
pages = {1057-1061}
}
@article{Xu04,
author = {Xu, N. and Gao, X. and Hong, B. and Miao, X. and Gao, S. and Yang, F.},
title = {BCI competition 2003 - data set IIb: enhancing P300 wave detection using ICA-based subspace projections for BCI applications},
journal = {IEEE Trans. Biomed. Eng.},
year = 2004,
volume = 51,
pages = {1067-1072}
}
@article{Blankertz08,
author = {Blankertz, B and Dornhege, G and Krauledat, M and Müller, KR and Curio, G},
title = {Optimizing Spatial Filters for Robust EEG Single-Trial Analysis},
journal = {IEEE Signal Proc. Magazine},
year = 2008,
volume = 25,
number = 1,
pages = {41-56}
}
@article{Lu09,
author = {Lu, S and Guan, C and Zhang, H},
title = {Unsupervised brain-computer interface based on intersubject information and online adaptation},
journal = {IEEE trans on neural systems and rehabilitation engineering},
year = 2009,
volume = 17,
pages = {1147-1154}
}
@article{Kindermans12,
author = {Kindermans, PJ and Verstraeten, D and Schrauwen, B},
title = {A bayesian model for exploiting application constraints to enable unsupervised training of a P300-based BCI},
journal = {PloS one},
year = 2012,
volume = 7,
number = 4
}
@inproceedings{Saavedra10,
AUTHOR = {Saavedra, Carolina and Bougrain, Laurent},
TITLE = {{Wavelet denoising for P300 single-trial detection}},
BOOKTITLE = {{Proccedings of the 5th french conference on computational neuroscience - Neurocomp'10}},
YEAR = {2010},
MONTH = Oct,
EDITOR = {Neurocomp},
PAGES = {227-231},
KEYWORDS = {event-related potential; wavelet denoising; support vector machines; brain-computer interface},
ADDRESS = {Lyon, France},
}
/*URL = {http://hal.inria.fr/inria-00549218}*/
@inproceedings{Kakade08,
AUTHOR = {Kakade, SM and Shalev-Schwartz, S and Tewari, A},
TITLE = {{Efficient Bandit Algorithms for Online Multiclass Prediction}},
BOOKTITLE = {{Proccedings of the 25th International Conference on Machine Learning}},
YEAR = {2008},
ADDRESS = {Helsinki, Finland} }
@inproceedings{Bottou03,
AUTHOR = {Bottou, L and LeCun, Y},
TITLE = {Large Scale Online Learning},
BOOKTITLE = {{Advances in Neural Information Processing Systems (NIPS 2003)}},
YEAR = {2003},
PUBLISHER = {MIT Press} }
@article{Li06,
title = {An extended EM Algorithm for Joint Feature Extraction and Classification in Brain-Computer Interfaces},
author = {Li, Yuanqing and Guan, Cuntai},
pages = {2730-2761},
journal = {Neural Computation},
volume = {18},
year = {2006}
}
@article{Vidaurre12,
title = {Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces},
author = {Vidaurre, C and Sannelli, C and Müller, K-R and Blankertz, B},
pages = {791-816},
journal = {Neural Computation},
volume = {23},
year = {2012}
}
@article{Renard10,
hal_id = {hal-00477153},
title = {{OpenViBE: An Open-Source Software Platform to Design, Test and Use Brain-Computer Interfaces in Real and Virtual Environments}},
author = {Renard, Yann and Lotte, Fabien and Gibert, Guillaume and Congedo, Marco and Maby, Emmanuel and Delannoy, Vincent and Bertrand, Olivier and L{\'e}cuyer, Anatole},
abstract = {{This paper describes the OpenViBE software platform which enables researchers to design, test, and use brain--computer interfaces (BCIs). BCIs are communication systems that enable users to send commands to computers solely by means of brain activity. BCIs are gaining interest among the virtual reality (VR) community since they have appeared as promising interaction devices for virtual environments (VEs). The key features of the platform are (1) high modularity, (2) embedded tools for visualization and feedback based on VR and 3D displays, (3) BCI design made available to non-programmers thanks to visual programming, and (4) various tools offered to the different types of users. The platform features are illustrated in this paper with two entertaining VR applications based on a BCI. In the first one, users can move a virtual ball by imagining hand movements, while in the second one, they can control a virtual spaceship using real or imagined foot movements. Online experiments with these
applications together with the evaluation of the platform computational performances showed its suitability for the design of VR applications controlled with a BCI. OpenViBE is a free software distributed under an open-source license.}},
keywords = {Virtual-Reality, EEG acquisition, on-line, digital signal processing, data visualization},
language = {Anglais},
affiliation = {BUNRAKU - INRIA - IRISA , Brain-Computer Interface Laboratory - Singapore - BCI , Dynamique C{\'e}r{\'e}brale et Cognition , Grenoble Images Parole Signal Automatique - GIPSA-lab},
pages = {35-53},
journal = {Presence: Teleoperators and Virtual Environments},
volume = {19},
number = {1 },
audience = {internationale },
collaboration = {Open-ViBE },
year = {2010},
month = Apr,
pdf = {http://hal.archives-ouvertes.fr/hal-00477153/PDF/Renard\_et\_al\_2010\_draft.pdf},
}
/*url = {http://hal.archives-ouvertes.fr/hal-00477153},*/
@article{Rivet09,
hal_id = {hal-00454568},
title = {{xDAWN algorithm to enhance evoked potentials: application to brain-computer interface.}},
author = {Rivet, Bertrand and Souloumiac, Antoine and Attina, Virginie and Gibert, Guillaume},
abstract = {{A brain-computer interface (BCI) is a communication system that allows to control a computer or any other device thanks to the brain activity. The BCI described in this paper is based on the P300 speller BCI paradigm introduced by Farwell and Donchin . An unsupervised algorithm is proposed to enhance P300 evoked potentials by estimating spatial filters; the raw EEG signals are then projected into the estimated signal subspace. Data recorded on three subjects were used to evaluate the proposed method. The results, which are presented using a Bayesian linear discriminant analysis classifier , show that the proposed method is efficient and accurate.}},
language = {Anglais},
affiliation = {Grenoble Images Parole Signal Automatique - GIPSA-lab , Laboratoire d'Int{\'e}gration des Syst{\`e}mes et des Technologies - CEA LIST , Dynamique C{\'e}r{\'e}brale et Cognition},
pages = {2035-43},
journal = {IEEE Transactions on Biomedical Engineering},
volume = {56},
number = {8 },
audience = {internationale },
doi = {10.1109/TBME.2009.2012869 },
year = {2009},
month = Aug,
pdf = {http://hal.archives-ouvertes.fr/hal-00454568/PDF/2009\_IEEE\_BME.pdf},
}
/*url = {http://hal.archives-ouvertes.fr/hal-00454568},*/
@article{Schmidt12,
title = {Online detection of error-related potentials boosts the performance of mental typewriters},
author = {Schmidt, NM and Blankerz, B and Treder, MS},
journal = {BMC Neuroscience},
year = 2012,
pages = {13-19}
}
@BOOK{Sutton98,
title = {Reinforcement Learning: An Introduction},
publisher = {MIT Press},
year = {1998},
author = {Sutton, Richard S. and Barto, Andrew G.},
address = {Cambridge, MA},
keywords = {nn},
priority = {2}
}
/*biburl = {http://www.bibsonomy.org/bibtex/222063d43301bdff5387f812f3d59499b/idsia},*/
@article{Townsend10,
title = "A novel P300-based brain-computer interface stimulus presentation paradigm: Moving beyond rows and columns",
journal = "Clinical Neurophysiology",
volume = "121",
number = "7",
pages = "1109 - 1120",
year = "2010",
note = "",
issn = "1388-2457",
doi = "10.1016/j.clinph.2010.01.030",
author = "G. Townsend and B.K. LaPallo and C.B. Boulay and D.J. Krusienski and G.E. Frye and C.K. Hauser and N.E. Schwartz and T.M. Vaughan and J.R. Wolpaw and E.W. Sellers",
keywords = "Brainâcomputer interface",
keywords = "Brainâmachine interface",
keywords = "EEG",
keywords = "P300",
keywords = "Event-related potential",
keywords = "Rehabilitation"
}
/*url = "http://www.sciencedirect.com/science/article/pii/S1388245710000738",*/
@article{Vanacker2007,
author = {Vanacker, Gerolf and del R. Mill\'{a}n, Jos{\'e} and Lew, Eileen and Ferrez, Pierre W. and Moles, Ferran Gal\'{a}n and Philips, Johan and Van Brussel, Hendrik and Nuttin, Marnix},
title = {Context-based filtering for assisted brain-actuated wheelchair driving},
journal = {Intell. Neuroscience},
issue_date = {January 2007},
volume = {2007},
month = jan,
year = {2007},
issn = {1687-5265},
doi = {10.1155/2007/25130},
acmid = {1321351},
publisher = {Hindawi Publishing Corp.},
address = {New York, NY, United States},
}
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