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2020 – today
- 2022
[j48]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)- [j47]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) - [j46]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]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 - [c65]Zeynep Akalin Acar, Scott Makeig:
Evaluation of skull conductivity using SCALE head tissue conductivity estimation using EEG. EMBC 2022: 4826-4829 - 2021
- [j45]Takahiro Kagawa, Scott Makeig, Makoto Miyakoshi:
Electroencephalographic Study on Sensory Integration in Visually Induced Postural Sway. J. Cogn. Neurosci. 33(3): 482-498 (2021) - [j44]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) - [j43]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) - [c64]Dung Truong, Scott Makeig, Arnaud Delorme:
Assessing learned features of Deep Learning applied to EEG. BIBM 2021: 3667-3674 - [c63]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 - [c62]Arnaud Delorme, Dung Truong, Ramón Martínez-Cancino, Cyril 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]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]Dung Truong, Scott Makeig, Arnaud Delorme:
Assessing learned features of Deep Learning applied to EEG. CoRR abs/2111.04309 (2021) - 2020
- [j42]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) - [c61]Ramón Martínez-Cancino, Arnaud Delorme, Kenneth Kreutz-Delgado, Scott Makeig:
Computing Phase Amplitude Coupling in EEGLAB: PACTools. BIBE 2020: 387-394 - [c60]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]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
2010 – 2019
- 2019
- [j41]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) - [j40]Luca Pion-Tonachini, Kenneth Kreutz-Delgado, Scott Makeig:
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. NeuroImage 198: 181-197 (2019) - [j39]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) - [c58]Arnaud Delorme, Amitava Majumdar, Subhashini Sivagnanam, Ramón Martínez-Cancino, Kenneth Yoshimoto, Scott Makeig:
The Open EEGLAB portal. NER 2019: 1142-1145 - [i6]Luca Pion-Tonachini, Kenneth Kreutz-Delgado, Scott Makeig:
ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. CoRR abs/1901.07915 (2019) - 2018
- [j38]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) - [j37]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) - [c57]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 - [c56]Tim R. Mullen, Christian Kothe, Scott Makeig:
STRUM: A New Dataset for Neuroergonomics Research. SMC 2018: 77-82 - [c55]Stephen Estrin, Ramón Martínez-Cancino, Scott Makeig, Vikash Gilja:
Improving Classification Accuracy in Cortical Surface Recordings Using ICA-Based Features. SMC 2018: 3285-3288 - [c54]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
- [j36]Luca Pion-Tonachini, Scott Makeig, Kenneth Kreutz-Delgado:
Crowd labeling latent Dirichlet allocation. Knowl. Inf. Syst. 53(3): 749-765 (2017) - [j35]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
- [j34]Clemens Brunner, Martin Billinger, Martin Seeber, Tim R. Mullen, Scott Makeig:
Volume Conduction Influences Scalp-Based Connectivity Estimates. Frontiers Comput. Neurosci. 10: 121 (2016) - [j33]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) - [j32]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) - [j31]Zeynep Akalin Acar, Can E. Acar, Scott Makeig:
Simultaneous head tissue conductivity and EEG source location estimation. NeuroImage 124: 168-180 (2016) - [j30]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) - [c53]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 - [c52]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 - [c51]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
- [j29]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) - [j28]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) - [j27]Yu Yang, Hongbo Liu, Hua Wang, Scott Makeig:
Enumeration of BC-subtrees of trees. Theor. Comput. Sci. 580: 59-74 (2015) - [c50]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 - [c49]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 - [c48]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 - [c47]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]Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig:
Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification. CoRR abs/1512.00156 (2015) - 2014
- [j26]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) - [j25]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) - [j24]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]Ozgur Balkan, Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Scott Makeig:
Basis selection for maximally independent EEG sources. EMBC 2014: 6639-6642 - [i4]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
- [j23]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) - [j22]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) - [j21]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) - [j20]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]Christian Andreas Kothe, Scott Makeig, Julie Anne Onton:
Emotion Recognition from EEG during Self-Paced Emotional Imagery. ACII 2013: 855-858 - [c44]Grace Leslie, Alejandro Ojeda, Scott Makeig:
Towards an Affective Brain-Computer Interface Monitoring Musical Engagement. ACII 2013: 871-875 - [c43]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]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 - [c41]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 - [c40]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]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 - [c38]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 - [c37]Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Christian Kothe, Scott Makeig:
Towards an EEG search engine. GlobalSIP 2013: 25-28 - [c36]Ozgur Balkan, Kenneth Kreutz-Delgado, Scott Makeig:
Robust joint sparse recovery on data with outliers. ICASSP 2013: 3821-3825 - [c35]Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig:
The linear process mixture model. MLSP 2013: 1-6 - 2012
- [j19]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) - [c34]Joaquin Rapela, Klaus Gramann, Marissa Westerfield, Jeanne Townsend, Scott Makeig:
Brain oscillations in switching vs. focusing audio-visual attention. EMBC 2012: 352-355 - [c33]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]Tim R. Mullen, Gregory A. Worrell, Scott Makeig:
Multivariate principal oscillation pattern analysis of ICA sources during seizure. EMBC 2012: 2921-2924 - [c31]Romain Grandchamp, Claire Braboszcz, Scott Makeig, Arnaud Delorme:
Stability of ICA decomposition across within-subject EEG datasets. EMBC 2012: 6735-6739 - [c30]Jason A. Palmer, Scott Makeig:
Contrast Functions for Independent Subspace Analysis. LVA/ICA 2012: 115-122 - [c29]Muhammad Tahir Akhtar, Tzyy-Ping Jung, Scott Makeig, Gert Cauwenberghs:
Recursive independent component analysis for online blind source separation. ISCAS 2012: 2813-2816 - [i3]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]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
- [j18]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) - [j17]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]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]Tim R. Mullen, Zeynep Akalin Acar, Gregory A. Worrell, Scott Makeig:
Modeling cortical source dynamics and interactions during seizure. EMBC 2011: 1411-1414 - [c26]Zeynep Akalin Acar, Jason A. Palmer, Gregory A. Worrell, Scott Makeig:
Electrocortical source imaging of intracranial EEG data in epilepsy. EMBC 2011: 3909-3912 - [c25]Christian Andreas Kothe, Scott Makeig:
Estimation of task workload from EEG data: New and current tools and perspectives. EMBC 2011: 6547-6551 - 2010
- [j16]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]Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig:
Strong Sub- and Super-Gaussianity. LVA/ICA 2010: 303-310 - [c23]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 - [p1]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
2000 – 2009
- 2009
- [j15]David M. Groppe, Scott Makeig, Marta Kutas:
Identifying reliable independent components via split-half comparisons. NeuroImage 45(4): 1199-1211 (2009) - [c22]Ruey-Song Huang, Tzyy-Ping Jung, Scott Makeig:
Tonic Changes in EEG Power Spectra during Simulated Driving. HCI (16) 2009: 394-403 - [c21]Yijun Wang, Scott Makeig:
Predicting Intended Movement Direction Using EEG from Human Posterior Parietal Cortex. HCI (16) 2009: 437-446 - [c20]Nima Bigdely Shamlo, Scott Makeig:
Mind-Mirror: EEG-Guided Image Evolution. HCI (2) 2009: 569-578 - [c19]Scott Makeig:
Mind Monitoring via Mobile Brain-Body Imaging. HCI (16) 2009: 749-758 - [c18]Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado:
A complex cross-spectral distribution model using Normal Variance Mean Mixtures. ICASSP 2009: 3569-3572 - [c17]Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig:
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures. ICA 2009: 90-97 - [c16]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
- [j14]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) - [j13]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) - [j12]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]Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delgado, Bhaskar D. Rao:
Newton method for the ICA mixture model. ICASSP 2008: 1805-1808 - 2007
- [j11]Arthur Flexer, Scott Makeig:
Independent Component Analysis of EEG Recorded During Two-Person Game Playing. Appl. Artif. Intell. 21(9): 883-894 (2007) - [j10]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) - [j9]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]Ruey-Song Huang, Tzyy-Ping Jung, Scott Makeig:
Event-Related Brain Dynamics in Continuous Sustained-Attention Tasks. HCI (16) 2007: 65-74 - [c13]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]Ruey-Song Huang, Tzyy-Ping Jung, Scott Makeig:
Multi-Scale EEG Brain Dynamics During Sustained Attention Tasks. ICASSP (4) 2007: 1173-1176 - 2006
- [j8]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) - [j7]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]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]Mads Dyrholm, Scott Makeig, Lars Kai Hansen:
Model Structure Selection in Convolutive Mixtures. ICA 2006: 74-81 - [c9]Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig:
Super-Gaussian Mixture Source Model for ICA. ICA 2006: 854-861 - [c8]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
- [j6]Julie Onton, Arnaud Delorme, Scott Makeig:
Frontal midline EEG dynamics during working memory. NeuroImage 27(2): 341-356 (2005) - 2004
- [c7]