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|
% Encoding: UTF-8
%
% If available, include a DOI (preferred) *or* a URL for a given reference, but
# not both, as the DOI turns into a link which is redundant with the URL.
% MNE-C reference
@article{GramfortEtAl2014,
title = {{{MNE}} Software for Processing {{MEG}} and {{EEG}} Data},
author = {Gramfort, Alexandre and Luessi, Martin and Larson, Eric and Engemann, Denis A. and Strohmeier, Daniel and Brodbeck, Christian and Parkkonen, Lauri and H{\"a}m{\"a}l{\"a}inen, Matti S.},
year = {2014},
volume = {86},
pages = {446--460},
doi = {10.1016/j.neuroimage.2013.10.027},
journal = {NeuroImage},
}
% MNE-Python reference
@article{GramfortEtAl2013a,
title = {{{MEG}} and {{EEG}} Data Analysis with {{MNE}}-{{Python}}},
author = {Gramfort, Alexandre and Luessi, Martin and Larson, Eric and Engemann, Denis A. and Strohmeier, Daniel and Brodbeck, Christian and Goj, Roman and Jas, Mainak and Brooks, Teon and Parkkonen, Lauri and H{\"a}m{\"a}l{\"a}inen, Matti S.},
year = {2013},
volume = {7},
pages = {1--13},
doi = {10.3389/fnins.2013.00267},
journal = {Frontiers in Neuroscience},
number = {267}
}
% everything else
@article{AblinEtAl2018,
author = {Ablin, Pierre and Cardoso, Jean-Francois and Gramfort, Alexandre},
doi = {10.1109/TSP.2018.2844203},
journal = {IEEE Transactions on Signal Processing},
number = {15},
pages = {4040-4049},
title = {Faster {{Independent Component Analysis}} by Preconditioning with Hessian Approximations},
volume = {66},
year = {2018}
}
@article{AcunzoEtAl2012,
author = {Acunzo, David J. and MacKenzie, Graham and {van Rossum}, Mark C.W.},
doi = {10.1016/j.jneumeth.2012.06.011},
journal = {Journal of Neuroscience Methods},
number = {1},
pages = {212-218},
title = {Systematic Biases in Early {{ERP}} and {{ERF}} Components as a Result of High-Pass Filtering},
volume = {209},
year = {2012}
}
@article{Alday2019,
title = {How much baseline correction do we need in {ERP} research? Extended {GLM} model can replace baseline correction while lifting its limits},
author = {Alday, Phillip M.},
year = {2019},
volume = {56},
doi = {10.1111/psyp.13451},
journal = {Psychophysiology},
number = {12}
}
@article{ArtoniEtAl2018,
author = {Artoni, Fiorenzo and Delorme, Arnaud and Makeig, Scott},
doi = {10.1016/j.neuroimage.2018.03.016},
journal = {NeuroImage},
pages = {176-187},
title = {Applying Dimension Reduction to {{EEG}} Data by {{Principal Component Analysis}} Reduces the Quality of Its Subsequent {{Independent Component}} Decomposition},
volume = {175},
year = {2018}
}
@article{AvantsEtAl2008,
author = {Avants, Brian B. and Epstein, Charles L. and Grossman, Murray C. and Gee, James C.},
doi = {10.1016/j.media.2007.06.004},
journal = {Medical Image Analysis},
number = {1},
pages = {26-41},
shorttitle = {Symmetric Diffeomorphic Image Registration with Cross-Correlation},
title = {Symmetric Diffeomorphic Image Registration with Cross-Correlation: Evaluating Automated Labeling of Elderly and Neurodegenerative Brain},
volume = {12},
year = {2008}
}
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author = {Baillet, Sylvain and Mosher, John C. and Leahy, Richard M.},
doi = {10.1109/79.962275},
journal = {IEEE Signal Processing Magazine},
number = {6},
pages = {14-30},
title = {Electromagnetic Brain Mapping},
volume = {18},
year = {2001}
}
@inproceedings{BarachantEtAl2010,
author = {Barachant, Alexandre and Bonnet, Stephane and Congedo, Marco and Jutten, Christian},
booktitle = {2010 IEEE International Workshop on Multimedia Signal Processing},
title = {Common Spatial Pattern revisited by {Riemannian} geometry},
year = {2010},
pages={472-476},
doi = {10.1109/MMSP.2010.5662067}
}
@book{Barber2012,
address = {{Cambridge}},
author = {Barber, David},
isbn = {978-0-521-51814-7},
publisher = {{Cambridge University Press}},
title = {Bayesian Reasoning and Machine Learning},
url = {http://www.cs.ucl.ac.uk/staff/d.barber/brml/},
year = {2012}
}
@inproceedings{BekhtiEtAl2016,
address = {{Trento}},
author = {Bekhti, Yousra and Strohmeier, Daniel and Jas, Mainak and Badeau, Roland and Gramfort, Alexandre},
booktitle = {Proceedings of {{PRNI}}-2016},
doi = {10.1109/PRNI.2016.7552337},
isbn = {978-1-4673-6530-7},
pages = {1-4},
publisher = {{IEEE}},
title = {M/{{EEG}} Source Localization with Multi-Scale Time-Frequency Dictionaries},
year = {2016}
}
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author = {Bell, Anthony J. and Sejnowski, Terrence J.},
doi = {10.1162/neco.1995.7.6.1129},
journal = {Neural Computation},
number = {6},
pages = {1129-1159},
title = {An Information-Maximization Approach to Blind Separation and Blind Deconvolution},
volume = {7},
year = {1995}
}
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author = {Bentivoglio, Anna Rita and Bressman, Susan B. and Cassetta, Emanuele and Carretta, Donatella and Tonali, Pietro and Albanese, Alberto},
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journal = {Movement Disorders},
number = {6},
pages = {1028-1034},
title = {Analysis of Blink Rate Patterns in Normal Subjects},
volume = {12},
year = {1997}
}
@article{BergScherg1994,
author = {Berg, Patrick and Scherg, Michael},
doi = {10.1016/0013-4694(94)90113-9},
journal = {Electroencephalography and Clinical Neurophysiology},
number = {1},
pages = {58-64},
title = {A Fast Method for Forward Computation of Multiple-Shell Spherical Head Models},
volume = {90},
year = {1994}
}
@inproceedings{BigdelyShamloEtAl2013,
author = {Bigdely-Shamlo, Nima and Kreutz-Delgado, Kenneth and Robbins, Kay and Miyakoshi, Makoto and Westerfield, Marissa and Bel-Bahar, Tarik and Kothe, Christian and Hsi, Jessica and Makeig, Scott},
doi = {10.1109/GlobalSIP.2013.6736796},
booktitle = {2013 IEEE Global Conference on Signal and Information Processing},
pages = {1--4},
title = {Hierarchical event descriptor {(HED)} tags for analysis of event-related {EEG} studies},
organization = {IEEE},
year = {2013},
}
@article{BlankertzEtAl2008,
author = {Blankertz, Benjamin and Tomioka, Ryota and Lemm, Steven and Kawanabe, Motoaki and Müller, Klaus-Robert},
doi = {10.1109/MSP.2008.4408441},
journal = {IEEE Signal Processing Magazine},
number = {1},
pages = {41-56},
title = {Optimizing Spatial Filters for Robust {{EEG}} Single-Trial Analysis},
volume = {25},
year = {2008}
}
@article{Bookstein1989,
author = {Bookstein, Fred L.},
doi = {10.1109/34.24792},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
number = {6},
pages = {567-585},
shorttitle = {Principal Warps},
title = {Principal Warps: Thin-Plate Splines and the Decomposition of Deformations},
volume = {11},
year = {1989}
}
@article{BrookesEtAl2008,
author = {Brookes, Matthew J. and Vrba, Jiri and Robinson, Stephen E. and Stevenson, Claire M. and Peters, Andrew M. and Barnes, Gareth R. and Hillebrand, Arjan and Morris, Peter G.},
doi = {10.1016/j.neuroimage.2007.09.050},
journal = {NeuroImage},
number = {4},
pages = {1788-1802},
title = {Optimising Experimental Design for {{MEG}} Beamformer Imaging},
volume = {39},
year = {2008}
}
@article{BrunaEtAl2018,
doi = {10.1088/1741-2552/aacfe4},
year = {2018},
publisher = {{IOP} Publishing},
volume = {15},
number = {5},
pages = {056011},
author = {Ricardo Bru{\~{n}}a, Fernando Maest{\'{u}}, Ernesto Pereda},
title = {Phase locking value revisited: teaching new tricks to an old dog},
journal = {Journal of Neural Engineering},
}
@techreport{BurdakovMerkulov2001,
title={On a new norm for data fitting and optimization problems},
author={Burdakov, Oleg and Merkulov, Boris},
number={LiTH-MAT-R-2001-29},
address={Link{\"o}ping},
institution={Link{\"o}ping University},
type = {Technical {{Report}}},
year={2001}
}
@article{CamposViolaEtAl2009,
author = {Campos Viola, Filipa and Thorne, Jeremy and Edmonds, Barrie and Schneider, Till and Eichele, Tom and Debener, Stefan},
doi = {10.1016/j.clinph.2009.01.015},
journal = {Clinical Neurophysiology},
number = {5},
pages = {868-877},
title = {Semi-Automatic Identification of Independent Components Representing {{EEG}} Artifact},
volume = {120},
year = {2009}
}
@article{ChambonEtAl2018,
author = {Chambon, Stanislas and Galtier, Mathieu N. and Arnal, Pierrick J. and Wainrib, Gilles and Gramfort, Alexandre},
doi = {10.1109/TNSRE.2018.2813138},
journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},
number = {4},
pages = {758-769},
title = {A Deep Learning Architecture for Temporal Sleep Stage Classification Using Multivariate and Multimodal Time Series},
volume = {26},
year = {2018}
}
@article{ChenEtAl2010,
author = {Chen, Yilun and Wiesel, Ami and Eldar, Yonina C. and Hero, Alfred O.},
doi = {10.1109/TSP.2010.2053029},
journal = {IEEE Transactions on Signal Processing},
number = {10},
pages = {5016-5029},
title = {Shrinkage Algorithms for {{MMSE}} Covariance Estimation},
volume = {58},
year = {2010}
}
@article{CichyEtAl2014,
author = {Cichy, Radoslaw Martin and Pantazis, Dimitrios and Oliva, Aude},
doi = {10.1038/nn.3635},
journal = {Nature Neuroscience},
number = {3},
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title = {Resolving Human Object Recognition in Space and Time},
volume = {17},
year = {2014}
}
@book{Cohen2014,
place={Cambridge, MA},
title={Analyzing Neural Time Series Data: Theory and Practice},
publisher={MIT Press},
author={Cohen, Mike X.},
year={2014}
}
@article{Cohen2019,
author={Cohen, Michael X},
doi = {10.1016/j.neuroimage.2019.05.048},
journal = {NeuroImage},
pages = {81-86},
title = {A better way to define and describe {Morlet} wavelets for time-frequency analysis},
volume = {199},
year = {2019}
}
@article{CohenHosaka1976,
author = {Cohen, David and Hosaka, Hidehiro},
doi = {10.1016/S0022-0736(76)80041-6},
journal = {Journal of Electrocardiology},
number = {4},
pages = {409-417},
title = {Part {{II}} Magnetic Field Produced by a Current Dipole},
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year = {1976}
}
@article{CrosseEtAl2016,
author = {Crosse, Michael J. and Di Liberto, Giovanni M. and Bednar, Adam and Lalor, Edmund C.},
doi = {10.3389/fnhum.2016.00604},
journal = {Frontiers in Human Neuroscience},
shorttitle = {The Multivariate Temporal Response Function ({{mTRF}}) Toolbox},
title = {The Multivariate Temporal Response Function ({{mTRF}}) Toolbox: A {{MATLAB}} Toolbox for Relating Neural Signals to Continuous Stimuli},
volume = {10},
year = {2016}
}
@article{DahneEtAl2014,
author = {Dähne, Sven and Meinecke, Frank C. and Haufe, Stefan and Höhne, Johannes and Tangermann, Michael and Müller, Klaus-Robert and Nikulin, Vadim V.},
doi = {10.1016/j.neuroimage.2013.07.079},
journal = {NeuroImage},
pages = {111-122},
shorttitle = {{{SPoC}}},
title = {{{SPoC}}: A Novel Framework for Relating the Amplitude of Neuronal Oscillations to Behaviorally Relevant Parameters},
volume = {86},
year = {2014}
}
@article{DalalEtAl2008,
author = {Dalal, Sarang S. and Guggisberg, Adrian G. and Edwards, Erik and Sekihara, Kensuke and Findlay, Anne M. and Canolty, Ryan T. and Berger, Mitchel S. and Knight, Robert T. and Barbaro, Nicholas M. and Kirsch, Heidi E. and Nagarajan, Srikantan S.},
doi = {10.1016/j.neuroimage.2008.01.023},
journal = {NeuroImage},
number = {4},
pages = {1686-1700},
shorttitle = {Five-Dimensional Neuroimaging},
title = {Five-Dimensional Neuroimaging: Localization of the Time–Frequency Dynamics of Cortical Activity},
volume = {40},
year = {2008}
}
@article{DaleEtAl1999,
author = {Dale, Anders M. and Fischl, Bruce and Sereno, Martin I.},
doi = {10.1006/nimg.1998.0395},
journal = {NeuroImage},
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journal = {Trends in Hearing},
author = {Polonenko, Melissa J. and Maddox, Ross K.},
year = {2019},
pages = {2331216519871395}
}
@article{DeledalleEtAl2014,
author = {Deledalle, Charles-Alban and Vaiter, Samuel and Fadili, Jalal and Peyré, Gabriel},
title = {Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection},
journal = {SIAM Journal on Imaging Sciences},
volume = {7},
number = {4},
pages = {2448-2487},
year = {2014},
doi = {10.1137/140968045},
}
@InProceedings{BertrandEtAl2020,
title = { Anderson acceleration of coordinate descent },
author = {Bertrand, Quentin and Massias, Mathurin},
booktitle = {Proceedings of The 24th International Conference on Artificial Intelligence and Statistics},
pages = {1288--1296},
year = {2021},
editor = {Banerjee, Arindam and Fukumizu, Kenji},
volume = {130},
series = {Proceedings of Machine Learning Research},
month = {13--15 Apr},
publisher = {PMLR},
url = {http://proceedings.mlr.press/v130/bertrand21a.html}
}
@book{Luck2014,
title = {An Introduction to the Event-Related Potential Technique},
author = {Luck, Steven J},
year = {2014},
edition = {2nd},
publisher = {The MIT Press},
address = {Cambridge, MA},
url = {https://mitpress.mit.edu/books/introduction-event-related-potential-technique-second-edition},
isbn = {978-0-262-52585-5}
}
@article{Lopez-CalderonLuck2014,
title = {ERPLAB: An Open-Source Toolbox for the Analysis of Event-Related Potentials},
author = {Lopez-Calderon, Javier and Luck, Steven J.},
year = {2014},
journal = {Frontiers in Human Neuroscience},
volume = {8},
issn = {1662-5161},
doi = {10.3389/fnhum.2014.00213}
}
@article{LuckGaspelin2017,
title = {How to Get Statistically Significant Effects in Any {{ERP}} Experiment (and Why You Shouldn't)},
author = {Luck, Steven J. and Gaspelin, Nicholas},
year = {2017},
journal = {Psychophysiology},
volume = {54},
number = {1},
pages = {146--157},
issn = {1469-8986},
doi = {10.1111/psyp.12639},
}
@article{Welch1967,
title = {The Use of Fast {{Fourier}} Transform for the Estimation of Power Spectra: {{A}} Method Based on Time Averaging over Short, Modified Periodograms},
author = {Welch, Peter D.},
year = {1967},
journal = {IEEE Transactions on Audio and Electroacoustics},
volume = {15},
number = {2},
pages = {70--73},
doi = {10.1109/TAU.1967.1161901},
}
@article{MaksymenkoEtAl2017,
title = {Strategies for statistical thresholding of source localization maps in magnetoencephalography and estimating source extent},
volume = {290},
issn = {0165-0270},
doi = {10.1016/j.jneumeth.2017.07.015},
language = {en},
journal = {Journal of Neuroscience Methods},
author = {Maksymenko, Kostiantyn and Giusiano, Bernard and Roehri, Nicolas and Bénar, Christian-G. and Badier, Jean-Michel},
month = oct,
year = {2017},
pages = {95--104}
}
@article{BeckerEtAl2017,
title = {{SISSY}: {An} efficient and automatic algorithm for the analysis of {EEG} sources based on structured sparsity},
volume = {157},
issn = {1053-8119},
shorttitle = {{SISSY}},
doi = {10.1016/j.neuroimage.2017.05.046},
language = {en},
journal = {NeuroImage},
author = {Becker, H. and Albera, L. and Comon, P. and Nunes, J. -C. and Gribonval, R. and Fleureau, J. and Guillotel, P. and Merlet, I.},
month = aug,
year = {2017},
pages = {157--172}
}
@article{YaoEtAl2005,
title = {Evaluation of different cortical source localization methods using simulated and experimental {EEG} data},
volume = {25},
issn = {1053-8119},
doi = {10.1016/j.neuroimage.2004.11.036},
language = {en},
number = {2},
journal = {NeuroImage},
author = {Yao, Jun and Dewald, Julius P. A.},
month = apr,
year = {2005},
pages = {369--382}
}
@article{StenroosHauk2013,
title = {Minimum-norm cortical source estimation in layered head models is robust against skull conductivity error},
volume = {81},
issn = {1053-8119},
doi = {10.1016/j.neuroimage.2013.04.086},
abstract = {The conductivity profile of the head has a major effect on EEG signals, but unfortunately the conductivity for the most important compartment, skull, is only poorly known. In dipole modeling studies, errors in modeled skull conductivity have been considered to have a detrimental effect on EEG source estimation. However, as dipole models are very restrictive, those results cannot be generalized to other source estimation methods. In this work, we studied the sensitivity of EEG and combined MEG+EEG source estimation to errors in skull conductivity using a distributed source model and minimum-norm (MN) estimation. We used a MEG/EEG modeling set-up that reflected state-of-the-art practices of experimental research. Cortical surfaces were segmented and realistically-shaped three-layer anatomical head models were constructed, and forward models were built with Galerkin boundary element method while varying the skull conductivity. Lead-field topographies and MN spatial filter vectors were compared across conductivities, and the localization and spatial spread of the MN estimators were assessed using intuitive resolution metrics. The results showed that the MN estimator is robust against errors in skull conductivity: the conductivity had a moderate effect on amplitudes of lead fields and spatial filter vectors, but the effect on corresponding morphologies was small. The localization performance of the EEG or combined MEG+EEG MN estimator was only minimally affected by the conductivity error, while the spread of the estimate varied slightly. Thus, the uncertainty with respect to skull conductivity should not prevent researchers from applying minimum norm estimation to EEG or combined MEG+EEG data. Comparing our results to those obtained earlier with dipole models shows that general judgment on the performance of an imaging modality should not be based on analysis with one source estimation method only.},
language = {en},
journal = {NeuroImage},
author = {Stenroos, Matti and Hauk, Olaf},
month = nov,
year = {2013},
keywords = {Electroencephalography, Inverse problem, Magnetoencephalography, Minimum-norm estimation, Skull conductivity},
pages = {265--272}
}
@article{CroftBarry2000,
title = {Removal of ocular artifact from the {EEG}: a review},
author = {Croft, R. J. and Barry, R. J.},
year = {2000},
journal = {Clinical Neurophysiology},
volume = {30},
number = {1},
pages = {5--19},
doi = {10.1016/S0987-7053(00)00055-1}
}
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