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Scott Makeig

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2020 – today

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2024
[j51]
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Scott Makeig, Kay Robbins:
Events in context - The HED framework for the study of brain, experience and behavior. Frontiers Neuroinformatics 18 (2024)
[c68]
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Arnaud Delorme, Dung Truong, Luca Pion-Tonachini, Scott Makeig:
Automatic EEG Independent Component Classification Using ICLabel in Python. BIBM 2024: 4137-4141
[i10]
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  - journals/corr/abs-2411-17721
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Arnaud Delorme, Dung Truong, Luca Pion-Tonachini, Scott Makeig:
Automatic EEG Independent Component Classification Using ICLabel in Python. CoRR abs/2411.17721 (2024)
2023
[j50]
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Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig:
Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). Neuroinformatics 21(3): 631 (2023)
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Gwenevere Frank, Seyed Yahya Shirazi, Jason A. Palmer, Gert Cauwenberghs, Scott Makeig, Arnaud Delorme:
An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA. BIBE 2023: 205-210
[d1]
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Aaron Oliver-Taylor, Adam Li, Adam G. Thomas, Adeen Flinker, Adina S. Wagner, Agah Karakuzu, Aki Nikolaidis, Alberto Lazari, Alejandro de la Vega, Alessio Giacomel, Alexander Rockhill, Alexander Jones, Alexander Li Cohen, Alexander von Lautz, Alexandre Gramfort, Alexandre Hutton, Alexandre Routier, Alexandru Foias, Ali Khan, Alizee Wickenheiser, Ana Fouto, Anders Eklund, Andrea Pigorini, Andrew Hoopes, Andrew Jahn, Andrew Janke, Anibal Sólon, Anthony Galassi, Ariel Rokem, Arjen Stolk, Arnaud Delorme, Arnaud Marcoux, Arshitha Basavaraj, Ashley G. Gillman, Athanasia M. Mowinckel, Aysegul Gunduz, Azeez Adebimpe, B. Nolan Nichols, Balint Kincses, Benjamin Beasley, Benjamin K. Dichter, Benjamin Gagl, Bertrand Thirion, Bradley Voytek, Brett L. Foster, Brian A. Wandell, Brian N. Lundstrom, Camille Maumet, Carlo Miniussi, Cecile Madjar, Chloé Pasturel, Chris Benjamin, Chris Gahnström, Chris Holdgraf, Chris Gorgolewski, Chris Rorden, Christian Büchel, Christian Horea, Christine Rogers, Christophe Phillips, Christopher J. Honey, Christopher J. Markiewicz, Christopher Lee-Messer, Clara Moreau, Clint Hansen, Cyril R. Pernet, Cyrus Eierud, D. Sturgeon, Dan Levitas, Dan Lurie, Daniel A. Handwerker, David C. Alsop, David A. Boas, David M. Groppe, David B. Keator, David McAlpine, David Thomas, Dejan Draschkow, Dianne K. Patterson, Dimitri Papadopoulos Orfanos, Dmitry Petrov, Dora Hermes, Dorien Huijser, Douglas N. Greve, Duncan Macleod, Dung Truong, Dylan Nielson, Eduard Ort, Eleonora Marcantoni, Elizabeth Bock, Elizabeth DuPre, Elke Warmerdam, Erdal Karaca, Eric A. Earl, Eric Achten, Eric Bridgeford, Erin W. Dickie, Ethan Blackwood, Eugene P. Duff, Ezequiel Mikulan, Felipe Orihuela-Espina, Fidel Alfaro-Almagro, Filip Szczepankiewicz, Filippo Maria Castelli, Franco Pestilli, Franklin W. Feingold, François Tadel, Gaia Rizzo, Gang Chen, Gaël Varoquaux, Ghislain Vaillant, Giacomo Bertazzoli, Giacomo Guidali, Giacomo Mazzamuto, Gilles de Hollander, Gio Piantoni, Gitte M. Knudsen, Giulio Castegnaro, Giuseppe Gallitto, Graham Searle, Granville J. Matheson, Gregory Kiar, Gregory Noack, Greydon Gilmore, Guillaume Flandin, Gunnar Schaefer, Gustav Nilsonne, Hamish Innes-Brown, Hanne D. Hansen, Hanzhang Lu, Hao-Ting Wang, Helena Cockx, Henk Mutsaerts, Hernando Ombao, Hugo Boniface, Ayse Ilkay Isik, Ilona Lipp, International Neuroinformatics Coordinating Facility, Iris I. A. Groen, Isla Staden, Jaap von der Aar, Jakub Kaczmarzyk, James Gholam, James D. Kent, Jan-Mathijs Schoffelen, Jan Petr, Jean-Baptiste Poline, Jean-Christophe Houde, Jean-Dominique Gallezot, Jean-Philippe Lachaux, Jeanette Mumford, Jefferson Casimir, Jeffrey G. Ojemann, Jeffrey S. Grethe, JegouA, Jelle R. Dalenberg, Jeremy T. Moreau, Jessica A. Turner, Jochem W. Rieger, John A. Detre, John Pellman, John T. Wodder, Joke Durnez, Jon Haitz Legarreta Gorrono, Jonathan C. Lau, Jonathan Winawer, Joost P. A. Kuijer, Jose Manuel Saborit, Joseph Wexler, Joseph G. Woods, J. Guiomar Niso, Julia Sprenger, Julien Cohen-Adad, Julius Welzel, Kai J. Miller, Kangjoo Lee, Katja Heuer, Kay Robbins, Kevin Larcher, Kimberly L. Ray, Kirstie J. Whitaker, Klara Gregorova, Klaus Gramann, Kris Thielemans, Kristofer E. Bouchard, Kurt Schilling, Laetitia Fesselier, Laura & John Arnold Foundation, Leandro Beltrachini, Lee Kamentsky, Lennart Walger, Lennart Wittkuhn, Liberty S. Hamilton, Luca Pollonini, Luis Hernandez-Garcia, Luke J. Edwards, Lyuba Zehl, Mainak Jas, Manjari Narayan, Manuel R. Mercier, Maqsood Yaqub, Marc Lalancette, Marco Castellaro, Maria de la Iglesia, Marie-Hélène Bourget, Mark Mikkelsen, Markus Morawski, Marta Bortoletto, Martin Craig, Martin Nørgaard, Martin Szinte, Martin Wilson, Martina Bulgari, Mateusz Pawlik, Mathias Goncalves, Mathieu Boudreau, Matt Sanderson, Matteo Tonietto, Matthias Günther, Matthias Van Osch, Maureen J. Shader, Maurice Pasternak, Max A. van den Boom, Melanie Ganz-Benjaminsen, Michael Chappell, Michael Hanke, Michael P. Harms, Michael P. Milham, Michael P. Notter, Michael Schirner, Mikaël Naveau, Nader Pouratian, Natalia Petridou, National Institute of Mental Health, Nell Hardcastle, Nicholas Traut, Nick F. Ramsey, Nicole C. Swann, Nima Bigdely Shamlo, Olivier David, Orrin Devinsky, Oscar Esteban, Pamela LaMontagne, Parul Sethi, Patricia Clement, Patrick Park, Paule-Joanne Toussaint, Peer Herholz, Petra Ritter, Pierre Rioux, Pieter Vandemaele, Pradeep Reddy Raamana, R. Cameron Craddock, Rémi Gau, Richard Höchenberger, Richard N. Henson, Robert B. Innis, Robert E. Smith, Robert Knight, Robert Luke, Robert Oostenveld, Roberto Toro, Rohan Goyal, Ross W. Blair, Russell A. Poldrack, Rémi Adon, Samir Das, Samuel Garcia, Samuel A. Nastase, Sara Elgayar, Sasha D'Ambrosio, Satrajit S. Ghosh, Scott Makeig, Sein Jeung, Shashank Bansal, Sjoerd B. Vos, Soichi Hayashi, Stefan Appelhoff, Stephan Bickel, Steven L. Meisler, Suyash Bhogawar, Sylvain Baillet, Sylvain Takerkart, Sébastien Tourbier, Sören Grothkopp, Tal Pal Attia, Tal Yarkoni, Tamás Spisák, Tamás Józsa, Taylor Salo, Teon L. Brooks, Thomas E. Nichols, Thomas Funck, Thomas Kirk, Thomas W. Okell, Tibor Auer, Timo Dickscheid, Timotheus Berg, Tobey Betthauser, Tobias Bengfort, Tom Hampshire, Tor Wager, Travis Riddle, Tristan Glatard, Tyler Collins, Ulrike Bingel, Vanessa V. Sochat, Vasudev Raguram, Vince D. Calhoun, Vittorio Iacovella, Vladimir Litvak, Wietske van der Zwaag, William Clarke, William Triplett, Wouter V. Potters, Xiangrui Li, Yaroslav O. Halchenko, Yoni Ashar, Yuan Wang, Zachary Michael, ezemikulan, josator2, monkeyman192, Étienne Bergeron:
bids-specification. Zenodo, 2023
[i9]
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  - journals/corr/abs-2306-15041
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Priyanka Subash, Alex Gray, Misque Boswell, Samantha L. Cohen, Rachael Garner, Sana Salehi, Calvary Fisher, Samuel Hobel, Satrajit S. Ghosh, Yaroslav O. Halchenko, Benjamin K. Dichter, Russell A. Poldrack, Christopher J. Markiewicz, Dora Hermes, Arnaud Delorme, Scott Makeig, Brendan Behan, Alana Sparks, Stephen R. Arnott, Zhengjia Wang, John F. Magnotti, Michael S. Beauchamp, Nader Pouratian, Arthur W. Toga, Dominique Duncan:
A Comparison of Neuroelectrophysiology Databases. CoRR abs/2306.15041 (2023)
2022
[j49]
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Arnaud Delorme, Dung Truong, Choonhan Youn, Subhashini Sivagnanam, Claire Stirm, Kenneth Yoshimoto, Russell A. Poldrack, Amitava Majumdar, Scott Makeig:
NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. Database J. Biol. Databases Curation 2022(2022) (2022)
[j48]
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Sheng-Hsiou Hsu, Yayu Lin, Julie Onton, Tzyy-Ping Jung, Scott Makeig:
Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG. NeuroImage 249: 118873 (2022)
[j47]
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Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig:
Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). Neuroinformatics 20(2): 463-481 (2022)
[c66]
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Gwenevere Frank, Scott Makeig, Arnaud Delorme:
A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm. BIBM 2022: 2009-2016
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Zeynep Akalin Acar, Scott Makeig:
Evaluation of skull conductivity using SCALE head tissue conductivity estimation using EEG. EMBC 2022: 4826-4829
2021
[j46]
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Takahiro Kagawa, Scott Makeig, Makoto Miyakoshi:
Electroencephalographic Study on Sensory Integration in Visually Induced Postural Sway. J. Cogn. Neurosci. 33(3): 482-498 (2021)
[j45]
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Ramón Martínez-Cancino, Arnaud Delorme, Dung Truong, Fiorenzo Artoni, Kenneth Kreutz-Delgado, Subhashini Sivagnanam, Kenneth Yoshimoto, Amitava Majumdar, Scott Makeig:
The open EEGLAB portal Interface: High-Performance computing with EEGLAB. NeuroImage 224: 116778 (2021)
[j44]
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Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig:
Capturing the nature of events and event context using hierarchical event descriptors (HED). NeuroImage 245: 118766 (2021)
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Dung Truong, Scott Makeig, Arnaud Delorme:
Assessing learned features of Deep Learning applied to EEG. BIBM 2021: 3667-3674
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Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme:
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. EMBC 2021: 1039-1042
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Arnaud Delorme, Dung Truong, Ramón Martínez-Cancino, Cyril R. Pernet, Subha Sivagnanam, Kenneth Yoshimoto, Russ Poldrack, Amit Majumdar, Scott Makeig:
Tools for Importing and Evaluating BIDS-EEG Formatted Data. NER 2021: 210-213
[i8]
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Dung Truong, Michael P. Milham, Scott Makeig, Arnaud Delorme:
Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. CoRR abs/2105.04762 (2021)
[i7]
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Dung Truong, Scott Makeig, Arnaud Delorme:
Assessing learned features of Deep Learning applied to EEG. CoRR abs/2111.04309 (2021)
2020
[j43]
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Ramón Martínez-Cancino, Arnaud Delorme, Johanna Wagner, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig:
What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? Entropy 22(11): 1262 (2020)
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Ramón Martínez-Cancino, Arnaud Delorme, Kenneth Kreutz-Delgado, Scott Makeig:
Computing Phase Amplitude Coupling in EEGLAB: PACTools. BIBE 2020: 387-394
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Zeynep Akalin Acar, Scott Makeig:
Improved cortical source localization of ICA-derived EEG components using a source scalp projection noise model. BIBE 2020: 543-547
[c59]
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Subhashini Sivagnanam, Kenneth Yoshimoto, Ted Carnevale, Dave Nadeau, Martin Kandes, Trevor Petersen, Dung Truong, Ramón Martínez-Cancino, Arnaud Delorme, Scott Makeig, Amit Majumdar:
Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research. PEARC 2020: 510-513
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2010 – 2019

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2019
[j42]
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Ramón Martínez-Cancino, Joseph Heng, Arnaud Delorme, Kenneth Kreutz-Delgado, Roberto C. Sotero, Scott Makeig:
Measuring transient phase-amplitude coupling using local mutual information. NeuroImage 185: 361-378 (2019)
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Luca Pion-Tonachini, Kenneth Kreutz-Delgado, Scott Makeig:
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. NeuroImage 198: 181-197 (2019)
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Johanna Wagner, Ramón Martínez-Cancino, Scott Makeig:
Trial-by-trial source-resolved EEG responses to gait task challenges predict subsequent step adaptation. NeuroImage 199: 691-703 (2019)
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Arnaud Delorme, Amitava Majumdar, Subhashini Sivagnanam, Ramón Martínez-Cancino, Kenneth Yoshimoto, Scott Makeig:
The Open EEGLAB portal. NER 2019: 1142-1145
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Luca Pion-Tonachini, Kenneth Kreutz-Delgado, Scott Makeig:
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. CoRR abs/1901.07915 (2019)
2018
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Fiorenzo Artoni, Arnaud Delorme, Scott Makeig:
Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. NeuroImage 175: 176-187 (2018)
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Sheng-Hsiou Hsu, Luca Pion-Tonachini, Jason A. Palmer, Makoto Miyakoshi, Scott Makeig, Tzyy-Ping Jung:
Modeling brain dynamic state changes with adaptive mixture independent component analysis. NeuroImage 183: 47-61 (2018)
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Luca Pion-Tonachini, Sheng-Hsiou Hsu, Chi-Yuan Chang, Tzyy-Ping Jung, Scott Makeig:
Online Automatic Artifact Rejection using the Real-time EEG Source-mapping Toolbox (REST). EMBC 2018: 106-109
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Tim R. Mullen, Christian Kothe, Scott Makeig:
STRUM: A New Dataset for Neuroergonomics Research. SMC 2018: 77-82
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Stephen Estrin, Ramón Martínez-Cancino, Scott Makeig, Vikash Gilja:
Improving Classification Accuracy in Cortical Surface Recordings Using ICA-Based Features. SMC 2018: 3285-3288
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Lukas Gehrke, John R. Iversen, Scott Makeig, Klaus Gramann:
The Invisible Maze Task (IMT): Interactive Exploration of Sparse Virtual Environments to Investigate Action-Driven Formation of Spatial Representations. Spatial Cognition 2018: 293-310
2017
[j37]
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Luca Pion-Tonachini, Scott Makeig, Kenneth Kreutz-Delgado:
Crowd labeling latent Dirichlet allocation. Knowl. Inf. Syst. 53(3): 749-765 (2017)
[j36]
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Fiorenzo Artoni, Chiara Fanciullacci, Federica Bertolucci, Alessandro Panarese, Scott Makeig, Silvestro Micera, Carmelo Chisari:
Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking. NeuroImage 159: 403-416 (2017)
2016
[j35]
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Clemens Brunner, Martin Billinger, Martin Seeber, Tim R. Mullen, Scott Makeig:
Volume Conduction Influences Scalp-Based Connectivity Estimates. Frontiers Comput. Neurosci. 10: 121 (2016)
[j34]
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Nima Bigdely Shamlo, Scott Makeig, Kay A. Robbins:
Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach. Frontiers Neuroinformatics 10: 7 (2016)
[j33]
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Nima Bigdely Shamlo, Jeremy Cockfield, Scott Makeig, Thomas Rognon, Chris La Valle, Makoto Miyakoshi, Kay A. Robbins:
Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG. Frontiers Neuroinformatics 10: 42 (2016)
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Zeynep Akalin Acar, Can E. Acar, Scott Makeig:
Simultaneous head tissue conductivity and EEG source location estimation. NeuroImage 124: 168-180 (2016)
[j31]
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Caterina Piazza, Chiara Cantiani, Zeynep Akalin Acar, Makoto Miyakoshi, April A. Benasich, Gianluigi Reni, Anna Maria Bianchi, Scott Makeig:
ICA-derived cortical responses indexing rapid multi-feature auditory processing in six-month-old infants. NeuroImage 133: 75-87 (2016)
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Zeynep Akalin Acar, Silvia Ortiz-Mantilla, April A. Benasich, Scott Makeig:
High-resolution EEG source imaging of one-year-old children. EMBC 2016: 117-120
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Becky Su, Shouhei Shirafuji, Tomomichi Oya, Yousuke Ogata, Tetsuro Funato, Natsue Yoshimura, Luca Pion-Tonachini, Scott Makeig, Kazuhiko Seki, Jun Ota:
Source separation and localization of individual superficial forearm extensor muscles using high-density surface electromyography. MHS 2016: 1-7
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Victor Shih, Ludan Zhang, Christian Kothe, Scott Makeig, Paul Sajda:
Predicting decision accuracy and certainty in complex brain-machine interactions. SMC 2016: 4076-4081
2015
[j30]
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Yu Liao, Zeynep Akalin Acar, Scott Makeig, Gedeon O. Deák:
EEG imaging of toddlers during dyadic turn-taking: Mu-rhythm modulation while producing or observing social actions. NeuroImage 112: 52-60 (2015)
[j29]
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Tim R. Mullen, Christian Andreas Kothe, Yu Mike Chi, Alejandro Ojeda, Trevor Kerth, Scott Makeig, Tzyy-Ping Jung, Gert Cauwenberghs:
Real-Time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG. IEEE Trans. Biomed. Eng. 62(11): 2553-2567 (2015)
[j28]
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Yu Yang, Hongbo Liu, Hua Wang, Scott Makeig:
Enumeration of BC-subtrees of trees. Theor. Comput. Sci. 580: 59-74 (2015)
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Ozgur Balkan, Naznin Virji-Babul, Makoto Miyakoshi, Scott Makeig, Harinath Garudadri:
Source-domain spectral EEG analysis of sports-related concussion via Measure Projection Analysis. EMBC 2015: 4053-4056
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Luca Pion-Tonachini, Sheng-Hsiou Hsu, Scott Makeig, Tzyy-Ping Jung, Gert Cauwenberghs:
Real-time EEG Source-mapping Toolbox (REST): Online ICA and source localization. EMBC 2015: 4114-4117
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Arnold Yeung, Harinath Garudadri, Carolyn Van Toen, Patrick P. Mercier, Ozgur Balkan, Scott Makeig, Naznin Virji-Babul:
Comparison of foam-based and spring-loaded dry EEG electrodes with wet electrodes in resting and moving conditions. EMBC 2015: 7131-7134
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Clement Lee, Makoto Miyakoshi, Arnaud Delorme, Gert Cauwenberghs, Scott Makeig:
Non-parametric group-level statistics for source-resolved ERP analysis. EMBC 2015: 7450-7453
[i5]
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Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig:
Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification. CoRR abs/1512.00156 (2015)
2014
[j27]
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Arthur C. Tsai, Tzyy-Ping Jung, Vincent S. C. Chien, Alexander N. Savostyanov, Scott Makeig:
Cortical surface alignment in multi-subject spatiotemporal independent EEG source imaging. NeuroImage 87: 297-310 (2014)
[j26]
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Fiorenzo Artoni, Danilo Menicucci, Arnaud Delorme, Scott Makeig, Silvestro Micera:
RELICA: A method for estimating the reliability of independent components. NeuroImage 103: 391-400 (2014)
[j25]
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Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig:
Localization of More Sources Than Sensors via Jointly-Sparse Bayesian Learning. IEEE Signal Process. Lett. 21(2): 131-134 (2014)
[c46]
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Ozgur Balkan, Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Scott Makeig:
Basis selection for maximally independent EEG sources. EMBC 2014: 6639-6642
[i4]
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Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Zhouyue Pi, Bhaskar D. Rao:
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals. CoRR abs/1404.5122 (2014)
2013
[j24]
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Nima Bigdely Shamlo, Tim R. Mullen, Kenneth Kreutz-Delgado, Scott Makeig:
Measure projection analysis: A probabilistic approach to EEG source comparison and multi-subject inference. NeuroImage 72: 287-303 (2013)
[j23]
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Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao:
Compressed Sensing of EEG for Wireless Telemonitoring With Low Energy Consumption and Inexpensive Hardware. IEEE Trans. Biomed. Eng. 60(1): 221-224 (2013)
[j22]
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Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao:
Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning. IEEE Trans. Biomed. Eng. 60(2): 300-309 (2013)
[j21]
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Bin He, Todd P. Coleman, Guy M. Genin, Gary Glover, Xiaoping Hu, Nessa Johnson, Tianming Liu, Scott Makeig, Paul Sajda, Kaiming Ye:
Grand Challenges in Mapping the Human Brain: NSF Workshop Report. IEEE Trans. Biomed. Eng. 60(11): 2983-2992 (2013)
[c45]
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Christian Andreas Kothe, Scott Makeig, Julie Anne Onton:
Emotion Recognition from EEG during Self-Paced Emotional Imagery. ACII 2013: 855-858
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Grace Leslie, Alejandro Ojeda, Scott Makeig:
Towards an Affective Brain-Computer Interface Monitoring Musical Engagement. ACII 2013: 871-875
[c43]
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Matthew D. Burns, Nima Bigdely Shamlo, Nathaniel J. Smith, Kenneth Kreutz-Delgado, Scott Makeig:
Comparison of averaging and regression techniques for estimating Event Related Potentials. EMBC 2013: 1680-1683
[c42]
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Tim R. Mullen, Christian Kothe, Yu Mike Chi, Alejandro Ojeda, Trevor Kerth, Scott Makeig, Gert Cauwenberghs, Tzyy-Ping Jung:
Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG. EMBC 2013: 2184-2187
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Makoto Miyakoshi, Arnaud Delorme, Tim R. Mullen, Katsuaki Kojima, Scott Makeig, Eishi Asano:
Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection. EMBC 2013: 3282-3285
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Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Christian Kothe, Scott Makeig:
EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector. EMBC 2013: 5845-5848
[c39]
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Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Kay Robbins, Makoto Miyakoshi, Marissa Westerfield, Tarik Bel-Bahar, Christian Kothe, Jessica Hsi, Scott Makeig:
Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies. GlobalSIP 2013: 1-4
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Thomas Rognon, Rebecca Strautman, Lauren Jett, Nima Bigdely Shamlo, Scott Makeig, Tony Johnson, Kay Robbins:
CTAGGER: Semi-structured community tagging for annotation and data-mining in event-rich contexts. GlobalSIP 2013: 5-8
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Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Christian Kothe, Scott Makeig:
Towards an EEG search engine. GlobalSIP 2013: 25-28
[c36]
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Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig:
Robust joint sparse recovery on data with outliers. ICASSP 2013: 3821-3825
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Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig:
The linear process mixture model. MLSP 2013: 1-6
2012
[j20]
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Scott Makeig, Christian Kothe, Tim R. Mullen, Nima Bigdely Shamlo, Zhilin Zhang, Kenneth Kreutz-Delgado:
Evolving Signal Processing for Brain-Computer Interfaces. Proc. IEEE 100(Centennial-Issue): 1567-1584 (2012)
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Joaquin Rapela, Klaus Gramann, Marissa Westerfield, Jeanne Townsend, Scott Makeig:
Brain oscillations in switching vs. focusing audio-visual attention. EMBC 2012: 352-355
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Cheng Cao, Zeynep Akalin Acar, Kenneth Kreutz-Delgado, Scott Makeig:
A physiologically motivated sparse, compact, and smooth (SCS) approach to EEG source localization. EMBC 2012: 1546-1549
[c32]
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Tim R. Mullen, Gregory A. Worrell, Scott Makeig:
Multivariate principal oscillation pattern analysis of ICA sources during seizure. EMBC 2012: 2921-2924
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Romain Grandchamp, Claire Braboszcz, Scott Makeig, Arnaud Delorme:
Stability of ICA decomposition across within-subject EEG datasets. EMBC 2012: 6735-6739
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Jason A. Palmer, Scott Makeig:
Contrast Functions for Independent Subspace Analysis. LVA/ICA 2012: 115-122
[c29]
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Muhammad Tahir Akhtar, Tzyy-Ping Jung, Scott Makeig, Gert Cauwenberghs:
Recursive independent component analysis for online blind source separation. ISCAS 2012: 2813-2816
[i3]
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Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao:
Low Energy Wireless Body-Area Networks for Fetal ECG Telemonitoring via the Framework of Block Sparse Bayesian Learning. CoRR abs/1205.1287 (2012)
[i2]
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Zhilin Zhang, Tzyy-Ping Jung, Scott Makeig, Bhaskar D. Rao:
Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware. CoRR abs/1206.3493 (2012)
2011
[j19]
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Arnaud Delorme, Tim R. Mullen, Christian Kothe, Zeynep Akalin Acar, Nima Bigdely Shamlo, Andrey Vankov, Scott Makeig:
EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing. Comput. Intell. Neurosci. 2011: 130714:1-130714:12 (2011)
[j18]
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Joseph T. Gwin, Klaus Gramann, Scott Makeig, Daniel P. Ferris:
Electrocortical activity is coupled to gait cycle phase during treadmill walking. NeuroImage 54(2): 1289-1296 (2011)
[c28]
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Scott Makeig, Grace Leslie, Tim R. Mullen, Devpratim Sarma, Nima Bigdely Shamlo, Christian Kothe:
First Demonstration of a Musical Emotion BCI. ACII (2) 2011: 487-496
[c27]
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Tim R. Mullen, Zeynep Akalin Acar, Gregory A. Worrell, Scott Makeig:
Modeling cortical source dynamics and interactions during seizure. EMBC 2011: 1411-1414
[c26]
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Zeynep Akalin Acar, Jason A. Palmer, Gregory A. Worrell, Scott Makeig:
Electrocortical source imaging of intracranial EEG data in epilepsy. EMBC 2011: 3909-3912
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Christian Andreas Kothe, Scott Makeig:
Estimation of task workload from EEG data: New and current tools and perspectives. EMBC 2011: 6547-6551
2010
[j17]
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Klaus Gramann, Julie Onton, Davide Riccobon, Hermann J. Müller, Stanislav Bardins, Scott Makeig:
Human Brain Dynamics Accompanying Use of Egocentric and Allocentric Reference Frames during Navigation. J. Cogn. Neurosci. 22(12): 2836-2849 (2010)
[c24]
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Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig:
Strong Sub- and Super-Gaussianity. LVA/ICA 2010: 303-310
[c23]
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Markus Plank, Hermann J. Müller, Julie Onton, Scott Makeig, Klaus Gramann:
Human EEG Correlates of Spatial Navigation within Egocentric and Allocentric Reference Frames. Spatial Cognition 2010: 191-206
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Arnaud Delorme, Christian Kothe, Andrey Vankov, Nima Bigdely Shamlo, Robert Oostenveld, Thorsten O. Zander, Scott Makeig:
MATLAB-Based Tools for BCI Research. Brain-Computer Interfaces 2010: 241-259
no results

2000 – 2009

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2009
[j16]
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David M. Groppe, Scott Makeig, Marta Kutas:
Identifying reliable independent components via split-half comparisons. NeuroImage 45(4): 1199-1211 (2009)
[c22]
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Ruey-Song Huang, Tzyy-Ping Jung, Scott Makeig:
Tonic Changes in EEG Power Spectra during Simulated Driving. HCI (16) 2009: 394-403
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Yijun Wang, Scott Makeig:
Predicting Intended Movement Direction Using EEG from Human Posterior Parietal Cortex. HCI (16) 2009: 437-446
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Nima Bigdely Shamlo, Scott Makeig:
Mind-Mirror: EEG-Guided Image Evolution. HCI (2) 2009: 569-578
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Scott Makeig:
Mind Monitoring via Mobile Brain-Body Imaging. HCI (16) 2009: 749-758
[c18]
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Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado:
A complex cross-spectral distribution model using Normal Variance Mean Mixtures. ICASSP 2009: 3569-3572
[c17]
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Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig:
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures. ICA 2009: 90-97
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Arnaud Delorme, Scott Makeig:
Open Source Programming for Interpreted Language: Graphic Interface and Macro Bridging Interface in the EEGLAB Software. SITIS 2009: 430-434
2008
[j15]
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Ruey-Song Huang, Tzyy-Ping Jung, Arnaud Delorme, Scott Makeig:
Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking. NeuroImage 39(4): 1896-1909 (2008)
[j14]
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Paul S. Hammon, Scott Makeig, Howard Poizner, Emanuel Todorov, Virginia R. de Sa:
Predicting Reaching Targets from Human EEG. IEEE Signal Process. Mag. 25(1): 69-77 (2008)
[j13]
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Yi Zhu, Amirali Shayan Arani, Wanping Zhang, Tong Lee Chen, Tzyy-Ping Jung, Jeng-Ren Duann, Scott Makeig, Chung-Kuan Cheng:
Analyzing High-Density ECG Signals Using ICA. IEEE Trans. Biomed. Eng. 55(11): 2528-2537 (2008)
[c15]
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Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado, Bhaskar D. Rao:
Newton method for the ICA mixture model. ICASSP 2008: 1805-1808
2007
[j12]
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Arthur Flexer, Scott Makeig:
Independent Component Analysis of EEG Recorded During Two-Person Game Playing. Appl. Artif. Intell. 21(9): 883-894 (2007)
[j11]
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Mads Dyrholm, Scott Makeig, Lars Kai Hansen:
Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG. Neural Comput. 19(4): 934-955 (2007)
[j10]
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Arnaud Delorme, Terrence J. Sejnowski, Scott Makeig:
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage 34(4): 1443-1449 (2007)
[c14]
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Ruey-Song Huang, Tzyy-Ping Jung, Scott Makeig:
Event-Related Brain Dynamics in Continuous Sustained-Attention Tasks. HCI (16) 2007: 65-74
[c13]
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Jason A. Palmer, Kenneth Kreutz-Delgado, Bhaskar D. Rao, Scott Makeig:
Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities. ICA 2007: 97-104
[c12]
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Ruey-Song Huang, Tzyy-Ping Jung, Scott Makeig:
Multi-Scale EEG Brain Dynamics During Sustained Attention Tasks. ICASSP (4) 2007: 1173-1176
2006
[j9]
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Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig:
Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. Neurocomputing 69(13-15): 1502-1512 (2006)
[j8]
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Arthur C. Tsai, Michelle Liou, Tzyy-Ping Jung, Julie Anne Onton, Philip E. Cheng, Chien-Chih Huang, Jeng-Ren Duann, Scott Makeig:
Mapping single-trial EEG records on the cortical surface through a spatiotemporal modality. NeuroImage 32(1): 195-207 (2006)
[c11]
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Yi Zhu, Tong Lee Chen, Wanping Zhang, Tzyy-Ping Jung, Jeng-Ren Duann, Scott Makeig, Chung-Kuan Cheng:
Noninvasive Study of the Human Heart using Independent Component Analysis. BIBE 2006: 340-347
[c10]
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Mads Dyrholm, Scott Makeig, Lars Kai Hansen:
Model Structure Selection in Convolutive Mixtures. ICA 2006: 74-81
[c9]
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Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig:
Super-Gaussian Mixture Source Model for ICA. ICA 2006: 854-861
[c8]
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David P. Wipf, Rey Ramírez, Jason A. Palmer, Scott Makeig, Bhaskar D. Rao:
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization. NIPS 2006: 1505-1512
2005
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Julie Onton, Arnaud Delorme, Scott Makeig:
Frontal midline EEG dynamics during working memory. NeuroImage 27(2): 341-356 (2005)
2004
[c7]
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Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals. ICA 2004: 1009-1016
[c6]
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Jörn Anemüller, Jeng-Ren Duann, Terrence J. Sejnowski, Scott Makeig:
Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA. ICA 2004: 1103-1110
2003
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Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Complex independent component analysis of frequency-domain electroencephalographic data. Neural Networks 16(9): 1311-1323 (2003)
[i1]
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Jörn Anemüller, Terrence J. Sejnowski, Scott Makeig:
Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data. CoRR q-bio.QM/0310011 (2003)
2002
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Arnaud Delorme, Scott Makeig, Michèle Fabre-Thorpe, Terrence J. Sejnowski:
From single-trial EEG to brain area dynamics. Neurocomputing 44-46: 1057-1064 (2002)
[j4]
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Jeng-Ren Duann, Tzyy-Ping Jung, Wen-Jui Kuo, Tzu-Chen Yeh, Scott Makeig, Jen-Chuen Hsieh, Terrence J. Sejnowski:
Single-Trial Variability in Event-Related BOLD Signals. NeuroImage 15(4): 823-835 (2002)
[c5]
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Scott Makeig:
Far-field electrophysiology reflects top-down control. ISBI 2002: 395-398
2001
[j3]
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Karl F. Van Orden, Wendy Limbert, Scott Makeig, Tzyy-Ping Jung:
Eye Activity Correlates of Workload during a Visuospatial Memory Task. Hum. Factors 43(1): 111-121 (2001)
[j2]
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Tzyy-Ping Jung, Scott Makeig, Martin J. McKeown, Anthony J. Bell, Te-Won Lee, Terrence J. Sejnowski:
Imaging brain dynamics using independent component analysis. Proc. IEEE 89(7): 1107-1122 (2001)
no results

1990 – 1999

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1998
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Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski:
Analyzing and Visualizing Single-Trial Event-Related Potentials. NIPS 1998: 118-124
1997
[j1]
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Tzyy-Ping Jung, Scott Makeig, Magnus Stensmo, Terrence J. Sejnowski:
Estimating alertness from the EEG power spectrum. IEEE Trans. Biomed. Eng. 44(1): 60-69 (1997)
[c3]
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Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott Makeig, Martin J. McKeown, Vicente Iragui, Terrence J. Sejnowski:
Extended ICA Removes Artifacts from Electroencephalographic Recordings. NIPS 1997: 894-900
1995
[c2]
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Scott Makeig, Anthony J. Bell, Tzyy-Ping Jung, Terrence J. Sejnowski:
Independent Component Analysis of Electroencephalographic Data. NIPS 1995: 145-151
[c1]
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Scott Makeig, Tzyy-Ping Jung, Terrence J. Sejnowski:
Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence. NIPS 1995: 931-937
no results

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