• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 279 matches

• 2021
• 
  Tomasz Piotrowski, Jan Nikadon, Alexander Moiseev:
  Localization of brain activity from EEG/MEG using MV-PURE framework. Biomed. Signal Process. Control. 64: 102243 (2021)
• 
  Françoise Lecaignard, Olivier Bertrand, Anne Caclin, Jérémie Mattout:
  Empirical Bayes evaluation of fused EEG-MEG source reconstruction: Application to auditory mismatch evoked responses. NeuroImage 226: 117468 (2021)
• 
  Vladimir Litvak, Esther Florin, Gertrúd Tamás, Sergiu Groppa, Muthuraman Muthuraman:
  EEG and MEG primers for tracking DBS network effects. NeuroImage 224: 117447 (2021)
• 
  Solveig Næss, Geir Halnes, Espen Hagen, Donald J. Hagler Jr., Anders M. Dale, Gaute T. Einevoll, Torbjørn V. Ness:
  Biophysically detailed forward modeling of the neural origin of EEG and MEG signals. NeuroImage 225: 117467 (2021)
• 
  John G. W. Samuelsson, Noam Peled, Fahimeh Mamashli, Jyrki Ahveninen, Matti S. Hämäläinen:
  Spatial fidelity of MEG/EEG source estimates: A general evaluation approach. NeuroImage 224: 117430 (2021)
• 
  Frederik Weber, Gernot G. Supp, Jens G. Klinzing, Matthias Mölle, Andreas K. Engel, Jan Born:
  Coupling of gamma band activity to sleep spindle oscillations - a combined EEG/MEG study. NeuroImage 224: 117452 (2021)
• 
  Samu Taulu, Eric Larson:
  Unified Expression of the Quasi-Static Electromagnetic Field: Demonstration With MEG and EEG Signals. IEEE Trans. Biomed. Eng. 68(3): 992-1004 (2021)
• 
  Feng Liu, Li Wang, Yifei Lou, Ren-Cang Li, Patrick L. Purdon:
  Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors. IEEE Trans. Medical Imaging 40(1): 321-334 (2021)
• 2020
• 
  Ayan Seal, Puthi Prem Nivesh Reddy, Pingali Chaithanya, Arramada Meghana, Kamireddy Jahnavi, Ondrej Krejcar, Radovan Hudak:
  An EEG Database and Its Initial Benchmark Emotion Classification Performance. Comput. Math. Methods Medicine 2020: 8303465:1-8303465:14 (2020)
• 
  Jie Sun, Bin Wang, Yan Niu, Yuan Tan, Chanjuan Fan, Nan Zhang, Jiayue Xue, Jing Wei, Jie Xiang:
  Complexity Analysis of EEG, MEG, and fMRI in Mild Cognitive Impairment and Alzheimer's Disease: A Review. Entropy 22(2): 239 (2020)
• 
  Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li:
  Imaging brain extended sources from EEG/MEG based on variation sparsity using automatic relevance determination. Neurocomputing 389: 132-145 (2020)
• 
  Muhammad Marwan Anoor, Aisyah Hartini Jahidin, Hamzah Arof, Megat Syahirul Amin Megat Ali:
  EEG-based intelligent system for cognitive behavior classification. J. Intell. Fuzzy Syst. 39(1): 177-194 (2020)
• 
  Lau M. Andersen, Karim Jerbi, Sarang S. Dalal:
  Can EEG and MEG detect signals from the human cerebellum? NeuroImage 215: 116817 (2020)
• 
  Nicolas Coquelet, Xavier De Tiège, Florian Destoky, Liliia Roshchupkina, Mathieu Bourguignon, Serge Goldman, Philippe Peigneux, Vincent Wens:
  Comparing MEG and high-density EEG for intrinsic functional connectivity mapping. NeuroImage 210: 116556 (2020)
• 
  Rikkert Hindriks:
  A methodological framework for inverse-modeling of propagating cortical activity using MEG/EEG. NeuroImage 223: 117345 (2020)
• 
  Mia Illman, Kristina Laaksonen, Mia Liljeström, Veikko Jousmäki, Harri Piitulainen, Nina Forss:
  Comparing MEG and EEG in detecting the ~20-Hz rhythm modulation to tactile and proprioceptive stimulation. NeuroImage 215: 116804 (2020)
• 
  Amirhossein Jafarian, Vladimir Litvak, Hayriye Cagnan, Karl J. Friston, Peter Zeidman:
  Comparing dynamic causal models of neurovascular coupling with fMRI and EEG/MEG. NeuroImage 216: 116734 (2020)
• 
  Hicham Janati, Thomas Bazeille, Bertrand Thirion, Marco Cuturi, Alexandre Gramfort:
  Multi-subject MEG/EEG source imaging with sparse multi-task regression. NeuroImage 220: 116847 (2020)
• 
  Bernhard Ross, Kelly Tremblay, Claude Alain:
  Simultaneous EEG and MEG recordings reveal vocal pitch elicited cortical gamma oscillations in young and older adults. NeuroImage 204 (2020)
• 
  David Sabbagh, Pierre Ablin, Gaël Varoquaux, Alexandre Gramfort, Denis A. Engemann:
  Predictive regression modeling with MEG/EEG: from source power to signals and cognitive states. NeuroImage 222: 116893 (2020)
• 
  Nima Bigdely Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim R. Mullen, Kay Robbins:
  Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies. NeuroImage 207 (2020)
• 
  Nima Bigdely Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim R. Mullen, Kay Robbins:
  Automated EEG mega-analysis II: Cognitive aspects of event related features. NeuroImage 207 (2020)
• 
  Alexey Alexandrovich Korobkov, Marina K. Diugurova, Jens Haueisen, Martin Haardt:
  Multi-dimensional model order estimation using LineAr Regression of Global Eigenvalues (LaRGE) with applications to EEG and MEG recordings. EUSIPCO 2020: 1005-1009
• 
  Megha Parhi, Ahmed H. Tewfik:
  Classifying Imaginary Vowels from Frontal Lobe EEG via Deep Learning. EUSIPCO 2020: 1195-1199
• 
  Jérôme-Alexis Chevalier, Joseph Salmon, Alexandre Gramfort, Bertrand Thirion:
  Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso. NeurIPS 2020
• 
  Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon, Bertrand Thirion:
  Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso. CoRR abs/2009.14310 (2020)
• 2019
• 
  Marie-Constance Corsi, Mario Chavez, Denis Schwartz, Laurent Hugueville, Ankit N. Khambhati, Danielle S. Bassett, Fabrizio de Vico Fallani:
  Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface. Int. J. Neural Syst. 29(1): 1850014:1-1850014:12 (2019)
• 
  Christian G. Bénar, Christophe Grova, Viktor K. Jirsa, Jean-Marc Lina:
  Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study. J. Comput. Neurosci. 47(1): 31-41 (2019)
• 
  Florian Destoky, Morgane Philippe, Julie Bertels, Marie Verhasselt, Nicolas Coquelet, Marc Vander Ghinst, Vincent Wens, Xavier De Tiège, Mathieu Bourguignon:
  Comparing the potential of MEG and EEG to uncover brain tracking of speech temporal envelope. NeuroImage 184: 201-213 (2019)
• 
  Sabine Leske, Sarang S. Dalal:
  Reducing power line noise in EEG and MEG data via spectrum interpolation. NeuroImage 189: 763-776 (2019)

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