Independent Component Analysis of Electroencephalographic Data. - Scott Makeig; Anthony J. Bell; Tzyy-Ping Jung; Terrence J. Sejnowski (NIPS, 1995)

Using Feedforward Neural Networks to Monitor Alertness from Changes in EEG Correlation and Coherence. - Scott Makeig; Tzyy-Ping Jung; Terrence J. Sejnowski (NIPS, 1995)

Extended ICA Removes Artifacts from Electroencephalographic Recordings. - Tzyy-Ping Jung; Colin Humphries; Te-Won Lee; Scott Makeig; Martin J. McKeown; Vicente Iragui; Terrence J. Sejnowski (NIPS, 1997)

Estimating alertness from the EEG power spectrum. - Tzyy-Ping Jung; Scott Makeig; Magnus Stensmo; Terrence J. Sejnowski (IEEE Trans. Biomed. Eng., 1997)

Analyzing and Visualizing Single-Trial Event-Related Potentials. - Tzyy-Ping Jung; Scott Makeig; Marissa Westerfield; Jeanne Townsend; Eric Courchesne; Terrence J. Sejnowski (NIPS, 1998)

Eye Activity Correlates of Workload during a Visuospatial Memory Task. - Karl F. Van Orden; Wendy Limbert; Scott Makeig; Tzyy-Ping Jung (Hum. Factors, 2001)

Imaging brain dynamics using independent component analysis. - Tzyy-Ping Jung; Scott Makeig; Martin J. McKeown; Anthony J. Bell; Te-Won Lee; Terrence J. Sejnowski (Proc. IEEE, 2001)

Far-field electrophysiology reflects top-down control. - Scott Makeig (ISBI, 2002)

From single-trial EEG to brain area dynamics. - Arnaud Delorme; Scott Makeig; Michèle Fabre-Thorpe; Terrence J. Sejnowski (Neurocomputing, 2002)

Single-Trial Variability in Event-Related BOLD Signals. - Jeng-Ren Duann; Tzyy-Ping Jung; Wen-Jui Kuo; Tzu-Chen Yeh; Scott Makeig; Jen-Chuen Hsieh; Terrence J. Sejnowski (NeuroImage, 2002)

Complex independent component analysis of frequency-domain electroencephalographic data. - Jörn Anemüller; Terrence J. Sejnowski; Scott Makeig (Neural Networks, 2003)

Unraveling Spatio-temporal Dynamics in fMRI Recordings Using Complex ICA. - Jörn Anemüller; Jeng-Ren Duann; Terrence J. Sejnowski; Scott Makeig (ICA, 2004)

Reliable Measurement of Cortical Flow Patterns Using Complex Independent Component Analysis of Electroencephalographic Signals. - Jörn Anemüller; Terrence J. Sejnowski; Scott Makeig (ICA, 2004)

Frontal midline EEG dynamics during working memory. - Julie Onton; Arnaud Delorme; Scott Makeig (NeuroImage, 2005)

Noninvasive Study of the Human Heart using Independent Component Analysis. - Yi Zhu 002; Tong Lee Chen; Wanping Zhang; Tzyy-Ping Jung; Jeng-Ren Duann; Scott Makeig; Chung-Kuan Cheng (BIBE, 2006)

Model Structure Selection in Convolutive Mixtures. - Mads Dyrholm; Scott Makeig; Lars Kai Hansen (ICA, 2006)

Super-Gaussian Mixture Source Model for ICA. - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (ICA, 2006)

Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization. - David P. Wipf; Rey Ramírez; Jason A. Palmer; Scott Makeig; Bhaskar D. Rao (NIPS, 2006)

Spatio-temporal dynamics in fMRI recordings revealed with complex independent component analysis. - Jörn Anemüller; Jeng-Ren Duann; Terrence J. Sejnowski; Scott Makeig (Neurocomputing, 2006)

Mapping single-trial EEG records on the cortical surface through a spatiotemporal modality. - Arthur C. Tsai; Michelle Liou; Tzyy-Ping Jung; Julie Anne Onton; Philip E. Cheng; Chien-Chih Huang; Jeng-Ren Duann; Scott Makeig (NeuroImage, 2006)

Event-Related Brain Dynamics in Continuous Sustained-Attention Tasks. - Ruey-Song Huang; Tzyy-Ping Jung; Scott Makeig (HCI (16), 2007)

Modeling and Estimation of Dependent Subspaces with Non-radially Symmetric and Skewed Densities. - Jason A. Palmer; Kenneth Kreutz-Delgado; Bhaskar D. Rao; Scott Makeig (ICA, 2007)

Multi-Scale EEG Brain Dynamics During Sustained Attention Tasks. - Ruey-Song Huang; Tzyy-Ping Jung; Scott Makeig (ICASSP (4), 2007)

Independent Component Analysis of EEG Recorded During Two-Person Game Playing. - Arthur Flexer; Scott Makeig (Appl. Artif. Intell., 2007)

Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG. - Mads Dyrholm; Scott Makeig; Lars Kai Hansen (Neural Comput., 2007)

Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. - Arnaud Delorme; Terrence J. Sejnowski; Scott Makeig (NeuroImage, 2007)

Newton method for the ICA mixture model. - Jason A. Palmer; Scott Makeig; Kenneth Kreutz-Delgado; Bhaskar D. Rao (ICASSP, 2008)

Tonic and phasic electroencephalographic dynamics during continuous compensatory tracking. - Ruey-Song Huang; Tzyy-Ping Jung; Arnaud Delorme; Scott Makeig (NeuroImage, 2008)

Predicting Reaching Targets from Human EEG. - Paul S. Hammon; Scott Makeig; Howard Poizner; Emanuel Todorov; Virginia R. de Sa (IEEE Signal Process. Mag., 2008)

Analyzing High-Density ECG Signals Using ICA. - Yi Zhu 002; Amirali Shayan Arani; Wanping Zhang; Tong Lee Chen; Tzyy-Ping Jung; Jeng-Ren Duann; Scott Makeig; Chung-Kuan Cheng (IEEE Trans. Biomed. Eng., 2008)

Tonic Changes in EEG Power Spectra during Simulated Driving. - Ruey-Song Huang; Tzyy-Ping Jung; Scott Makeig (HCI (16), 2009)

Mind Monitoring via Mobile Brain-Body Imaging. - Scott Makeig (HCI (16), 2009)

Mind-Mirror: EEG-Guided Image Evolution. - Nima Bigdely Shamlo; Scott Makeig (HCI (2), 2009)

Predicting Intended Movement Direction Using EEG from Human Posterior Parietal Cortex. - Yijun Wang 001; Scott Makeig (HCI (16), 2009)

A complex cross-spectral distribution model using Normal Variance Mean Mixtures. - Jason A. Palmer; Scott Makeig; Kenneth Kreutz-Delgado (ICASSP, 2009)

Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures. - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (ICA, 2009)

Open Source Programming for Interpreted Language: Graphic Interface and Macro Bridging Interface in the EEGLAB Software. - Arnaud Delorme; Scott Makeig (SITIS, 2009)

Identifying reliable independent components via split-half comparisons. - David M. Groppe; Scott Makeig; Marta Kutas (NeuroImage, 2009)

Strong Sub- and Super-Gaussianity. - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (LVA/ICA, 2010)

Human EEG Correlates of Spatial Navigation within Egocentric and Allocentric Reference Frames. - Markus Plank; Hermann J. Müller; Julie Onton; Scott Makeig; Klaus Gramann (Spatial Cognition, 2010)

Human Brain Dynamics Accompanying Use of Egocentric and Allocentric Reference Frames during Navigation. - Klaus Gramann; Julie Onton; Davide Riccobon; Hermann J. Müller; Stanislav Bardins; Scott Makeig (J. Cogn. Neurosci., 2010)

MATLAB-Based Tools for BCI Research. - Arnaud Delorme; Christian Kothe; Andrey Vankov; Nima Bigdely Shamlo; Robert Oostenveld; Thorsten O. Zander; Scott Makeig (Brain-Computer Interfaces, 2010)

First Demonstration of a Musical Emotion BCI. - Scott Makeig; Grace Leslie; Tim R. Mullen; Devpratim Sarma; Nima Bigdely Shamlo; Christian Kothe (ACII (2), 2011)

Electrocortical source imaging of intracranial EEG data in epilepsy. - Zeynep Akalin Acar; Jason A. Palmer; Gregory A. Worrell; Scott Makeig (EMBC, 2011)

Estimation of task workload from EEG data: New and current tools and perspectives. - Christian Andreas Kothe; Scott Makeig (EMBC, 2011)

Modeling cortical source dynamics and interactions during seizure. - Tim R. Mullen; Zeynep Akalin Acar; Gregory A. Worrell; Scott Makeig (EMBC, 2011)

EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing. - Arnaud Delorme; Tim R. Mullen; Christian Kothe; Zeynep Akalin Acar; Nima Bigdely Shamlo; Andrey Vankov; Scott Makeig (Comput. Intell. Neurosci., 2011)

Electrocortical activity is coupled to gait cycle phase during treadmill walking. - Joseph T. Gwin; Klaus Gramann; Scott Makeig; Daniel P. Ferris (NeuroImage, 2011)

A physiologically motivated sparse, compact, and smooth (SCS) approach to EEG source localization. - Cheng Cao; Zeynep Akalin Acar; Kenneth Kreutz-Delgado; Scott Makeig (EMBC, 2012)

Stability of ICA decomposition across within-subject EEG datasets. - Romain Grandchamp; Claire Braboszcz; Scott Makeig; Arnaud Delorme (EMBC, 2012)

Multivariate principal oscillation pattern analysis of ICA sources during seizure. - Tim R. Mullen; Gregory A. Worrell; Scott Makeig (EMBC, 2012)

Brain oscillations in switching vs. focusing audio-visual attention. - Joaquin Rapela; Klaus Gramann; Marissa Westerfield; Jeanne Townsend; Scott Makeig (EMBC, 2012)

Contrast Functions for Independent Subspace Analysis. - Jason A. Palmer; Scott Makeig (LVA/ICA, 2012)

Recursive independent component analysis for online blind source separation. - Muhammad Tahir Akhtar; Tzyy-Ping Jung; Scott Makeig; Gert Cauwenberghs (ISCAS, 2012)

Low Energy Wireless Body-Area Networks for Fetal ECG Telemonitoring via the Framework of Block Sparse Bayesian Learning - Zhilin Zhang 002; Tzyy-Ping Jung; Scott Makeig; Bhaskar D. Rao (CoRR, 2012)

Evolving Signal Processing for Brain-Computer Interfaces. - Scott Makeig; Christian Kothe; Tim R. Mullen; Nima Bigdely Shamlo; Zhilin Zhang 002; Kenneth Kreutz-Delgado (Proc. IEEE, 2012)

Emotion Recognition from EEG during Self-Paced Emotional Imagery. - Christian Andreas Kothe; Scott Makeig; Julie Anne Onton (ACII, 2013)

Towards an Affective Brain-Computer Interface Monitoring Musical Engagement. - Grace Leslie; Alejandro Ojeda; Scott Makeig (ACII, 2013)

Comparison of averaging and regression techniques for estimating Event Related Potentials. - Matthew D. Burns; Nima Bigdely Shamlo; Nathaniel J. Smith; Kenneth Kreutz-Delgado; Scott Makeig (EMBC, 2013)

Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection. - Makoto Miyakoshi; Arnaud Delorme; Tim R. Mullen; Katsuaki Kojima; Scott Makeig; Eishi Asano (EMBC, 2013)

Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG. - Tim R. Mullen; Christian Kothe; Yu Mike Chi; Alejandro Ojeda; Trevor Kerth; Scott Makeig; Gert Cauwenberghs; Tzyy-Ping Jung (EMBC, 2013)

EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector. - Nima Bigdely Shamlo; Kenneth Kreutz-Delgado; Christian Kothe; Scott Makeig (EMBC, 2013)

CTAGGER: Semi-structured community tagging for annotation and data-mining in event-rich contexts. - Thomas Rognon; Rebecca Strautman; Lauren Jett; Nima Bigdely Shamlo; Scott Makeig; Tony Johnson; Kay Robbins (GlobalSIP, 2013)

Towards an EEG search engine. - Nima Bigdely Shamlo; Kenneth Kreutz-Delgado; Christian Kothe; Scott Makeig (GlobalSIP, 2013)

Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies. - Nima Bigdely Shamlo; Kenneth Kreutz-Delgado; Kay Robbins; Makoto Miyakoshi; Marissa Westerfield; Tarik Bel-Bahar; Christian Kothe; Jessica Hsi; Scott Makeig (GlobalSIP, 2013)

Robust joint sparse recovery on data with outliers. - Ozgur Balkan; Kenneth Kreutz-Delgado; Scott Makeig (ICASSP, 2013)

The linear process mixture model. - Jason A. Palmer; Kenneth Kreutz-Delgado; Scott Makeig (MLSP, 2013)

Measure projection analysis: A probabilistic approach to EEG source comparison and multi-subject inference. - Nima Bigdely Shamlo; Tim R. Mullen; Kenneth Kreutz-Delgado; Scott Makeig (NeuroImage, 2013)

Grand Challenges in Mapping the Human Brain: NSF Workshop Report. - Bin He 002; Todd P. Coleman; Guy M. Genin; Gary Glover; Xiaoping Hu 001; Nessa Johnson; Tianming Liu 001; Scott Makeig; Paul Sajda; Kaiming Ye (IEEE Trans. Biomed. Eng., 2013)

Compressed Sensing of EEG for Wireless Telemonitoring With Low Energy Consumption and Inexpensive Hardware. - Zhilin Zhang 002; Tzyy-Ping Jung; Scott Makeig; Bhaskar D. Rao (IEEE Trans. Biomed. Eng., 2013)

Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning. - Zhilin Zhang 002; Tzyy-Ping Jung; Scott Makeig; Bhaskar D. Rao (IEEE Trans. Biomed. Eng., 2013)

Basis selection for maximally independent EEG sources. - Ozgur Balkan; Nima Bigdely Shamlo; Kenneth Kreutz-Delgado; Scott Makeig (EMBC, 2014)

Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals. - Zhilin Zhang 002; Tzyy-Ping Jung; Scott Makeig; Zhouyue Pi; Bhaskar D. Rao (CoRR, 2014)

RELICA: A method for estimating the reliability of independent components. - Fiorenzo Artoni; Danilo Menicucci; Arnaud Delorme; Scott Makeig; Silvestro Micera (NeuroImage, 2014)

Cortical surface alignment in multi-subject spatiotemporal independent EEG source imaging. - Arthur C. Tsai; Tzyy-Ping Jung; Vincent S. C. Chien; Alexander N. Savostyanov; Scott Makeig (NeuroImage, 2014)

Localization of More Sources Than Sensors via Jointly-Sparse Bayesian Learning. - Ozgur Balkan; Kenneth Kreutz-Delgado; Scott Makeig (IEEE Signal Process. Lett., 2014)

Source-domain spectral EEG analysis of sports-related concussion via Measure Projection Analysis. - Ozgur Balkan; Naznin Virji-Babul; Makoto Miyakoshi; Scott Makeig; Harinath Garudadri (EMBC, 2015)

Non-parametric group-level statistics for source-resolved ERP analysis. - Clement Lee; Makoto Miyakoshi; Arnaud Delorme; Gert Cauwenberghs; Scott Makeig (EMBC, 2015)

Real-time EEG Source-mapping Toolbox (REST): Online ICA and source localization. - Luca Pion-Tonachini; Sheng-Hsiou Hsu; Scott Makeig; Tzyy-Ping Jung; Gert Cauwenberghs (EMBC, 2015)

Comparison of foam-based and spring-loaded dry EEG electrodes with wet electrodes in resting and moving conditions. - Arnold Yeung; Harinath Garudadri; Carolyn Van Toen; Patrick P. Mercier; Ozgur Balkan; Scott Makeig; Naznin Virji-Babul (EMBC, 2015)

Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification. - Ozgur Balkan; Kenneth Kreutz-Delgado; Scott Makeig (CoRR, 2015)

EEG imaging of toddlers during dyadic turn-taking: Mu-rhythm modulation while producing or observing social actions. - Yu Liao; Zeynep Akalin Acar; Scott Makeig; Gedeon O. Deák (NeuroImage, 2015)

Real-Time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG. - Tim R. Mullen; Christian Andreas Kothe; Yu Mike Chi; Alejandro Ojeda; Trevor Kerth; Scott Makeig; Tzyy-Ping Jung; Gert Cauwenberghs (IEEE Trans. Biomed. Eng., 2015)

Enumeration of BC-subtrees of trees. - Yu Yang; Hongbo Liu 001; Hua Wang 003; Scott Makeig (Theor. Comput. Sci., 2015)

High-resolution EEG source imaging of one-year-old children. - Zeynep Akalin Acar; Silvia Ortiz-Mantilla; April A. Benasich; Scott Makeig (EMBC, 2016)

Source separation and localization of individual superficial forearm extensor muscles using high-density surface electromyography. - Becky Su; Shouhei Shirafuji; Tomomichi Oya; Yousuke Ogata; Tetsuro Funato; Natsue Yoshimura; Luca Pion-Tonachini; Scott Makeig; Kazuhiko Seki; Jun Ota 001 (MHS, 2016)

Predicting decision accuracy and certainty in complex brain-machine interactions. - Victor Shih; Ludan Zhang; Christian Kothe; Scott Makeig; Paul Sajda (SMC, 2016)

Volume Conduction Influences Scalp-Based Connectivity Estimates. - Clemens Brunner 001; Martin Billinger; Martin Seeber; Tim R. Mullen; Scott Makeig (Frontiers Comput. Neurosci., 2016)

Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG. - Nima Bigdely Shamlo; Jeremy Cockfield; Scott Makeig; Thomas Rognon; Chris La Valle; Makoto Miyakoshi; Kay A. Robbins (Frontiers Neuroinformatics, 2016)

Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach. - Nima Bigdely Shamlo; Scott Makeig; Kay A. Robbins (Frontiers Neuroinformatics, 2016)

Simultaneous head tissue conductivity and EEG source location estimation. - Zeynep Akalin Acar; Can E. Acar; Scott Makeig (NeuroImage, 2016)

ICA-derived cortical responses indexing rapid multi-feature auditory processing in six-month-old infants. - Caterina Piazza; Chiara Cantiani; Zeynep Akalin Acar; Makoto Miyakoshi; April A. Benasich; Gianluigi Reni; Anna Maria Bianchi; Scott Makeig (NeuroImage, 2016)

Crowd labeling latent Dirichlet allocation. - Luca Pion-Tonachini; Scott Makeig; Kenneth Kreutz-Delgado (Knowl. Inf. Syst., 2017)

Unidirectional brain to muscle connectivity reveals motor cortex control of leg muscles during stereotyped walking. - Fiorenzo Artoni; Chiara Fanciullacci; Federica Bertolucci; Alessandro Panarese; Scott Makeig; Silvestro Micera; Carmelo Chisari (NeuroImage, 2017)

Online Automatic Artifact Rejection using the Real-time EEG Source-mapping Toolbox (REST). - Luca Pion-Tonachini; Sheng-Hsiou Hsu; Chi-Yuan Chang; Tzyy-Ping Jung; Scott Makeig (EMBC, 2018)

Improving Classification Accuracy in Cortical Surface Recordings Using ICA-Based Features. - Stephen Estrin; Ramón Martínez-Cancino; Scott Makeig; Vikash Gilja (SMC, 2018)

STRUM: A New Dataset for Neuroergonomics Research. - Tim R. Mullen; Christian Kothe; Scott Makeig (SMC, 2018)

The Invisible Maze Task (IMT): Interactive Exploration of Sparse Virtual Environments to Investigate Action-Driven Formation of Spatial Representations. - Lukas Gehrke; John R. Iversen; Scott Makeig; Klaus Gramann (Spatial Cognition, 2018)

Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition. - Fiorenzo Artoni; Arnaud Delorme; Scott Makeig (NeuroImage, 2018)

Modeling brain dynamic state changes with adaptive mixture independent component analysis. - Sheng-Hsiou Hsu; Luca Pion-Tonachini; Jason A. Palmer; Makoto Miyakoshi; Scott Makeig; Tzyy-Ping Jung (NeuroImage, 2018)

The Open EEGLAB portal. - Arnaud Delorme; Amitava Majumdar 001; Subhashini Sivagnanam; Ramón Martínez-Cancino; Kenneth Yoshimoto; Scott Makeig (NER, 2019)

Measuring transient phase-amplitude coupling using local mutual information. - Ramón Martínez-Cancino; Joseph Heng; Arnaud Delorme; Kenneth Kreutz-Delgado; Roberto C. Sotero; Scott Makeig (NeuroImage, 2019)

ICLabel: An automated electroencephalographic independent component classifier, dataset, and website. - Luca Pion-Tonachini; Kenneth Kreutz-Delgado; Scott Makeig (NeuroImage, 2019)

Trial-by-trial source-resolved EEG responses to gait task challenges predict subsequent step adaptation. - Johanna Wagner; Ramón Martínez-Cancino; Scott Makeig (NeuroImage, 2019)

Improved cortical source localization of ICA-derived EEG components using a source scalp projection noise model. - Zeynep Akalin Acar; Scott Makeig (BIBE, 2020)

Computing Phase Amplitude Coupling in EEGLAB: PACTools. - Ramón Martínez-Cancino; Arnaud Delorme; Kenneth Kreutz-Delgado; Scott Makeig (BIBE, 2020)

Neuroscience Gateway Enabling Large Scale Modeling and Data Processing in Neuroscience Research. - Subhashini Sivagnanam; Kenneth Yoshimoto; Ted Carnevale; Dave Nadeau; Martin Kandes; Trevor Petersen; Dung Truong; Ramón Martínez-Cancino; Arnaud Delorme; Scott Makeig; Amit Majumdar 001 (PEARC, 2020)

What Can Local Transfer Entropy Tell Us about Phase-Amplitude Coupling in Electrophysiological Signals? - Ramón Martínez-Cancino; Arnaud Delorme; Johanna Wagner; Kenneth Kreutz-Delgado; Roberto C. Sotero; Scott Makeig (Entropy, 2020)

Assessing learned features of Deep Learning applied to EEG. - Dung Truong; Scott Makeig; Arnaud Delorme (BIBM, 2021)

Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features. - Dung Truong; Michael P. Milham; Scott Makeig; Arnaud Delorme (EMBC, 2021)

Tools for Importing and Evaluating BIDS-EEG Formatted Data. - Arnaud Delorme; Dung Truong; Ramón Martínez-Cancino; Cyril R. Pernet; Subha Sivagnanam; Kenneth Yoshimoto; Russ Poldrack; Amit Majumdar 001; Scott Makeig (NER, 2021)

Electroencephalographic Study on Sensory Integration in Visually Induced Postural Sway. - Takahiro Kagawa; Scott Makeig; Makoto Miyakoshi (J. Cogn. Neurosci., 2021)

The open EEGLAB portal Interface: High-Performance computing with EEGLAB. - Ramón Martínez-Cancino; Arnaud Delorme; Dung Truong; Fiorenzo Artoni; Kenneth Kreutz-Delgado; Subhashini Sivagnanam; Kenneth Yoshimoto; Amitava Majumdar 001; Scott Makeig (NeuroImage, 2021)

Capturing the nature of events and event context using hierarchical event descriptors (HED). - Kay Robbins; Dung Truong; Stefan Appelhoff; Arnaud Delorme; Scott Makeig (NeuroImage, 2021)

A Framework to Evaluate Independent Component Analysis applied to EEG signal: testing on the Picard algorithm. - Gwenevere Frank; Scott Makeig; Arnaud Delorme (BIBM, 2022)

Evaluation of skull conductivity using SCALE head tissue conductivity estimation using EEG. - Zeynep Akalin Acar; Scott Makeig (EMBC, 2022)

NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. - Arnaud Delorme; Dung Truong; Choonhan Youn; Subhashini Sivagnanam; Claire Stirm; Kenneth Yoshimoto; Russell A. Poldrack; Amitava Majumdar 001; Scott Makeig (Database J. Biol. Databases Curation, 2022)

Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG. - Sheng-Hsiou Hsu; Yayu Lin; Julie Onton; Tzyy-Ping Jung; Scott Makeig (NeuroImage, 2022)

Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). - Kay Robbins; Dung Truong; Alexander Jones; Ian Callanan; Scott Makeig (Neuroinformatics, 2022)

An Exploration of Optimal Parameters for Efficient Blind Source Separation of EEG Recordings Using AMICA. - Gwenevere Frank; Seyed Yahya Shirazi; Jason A. Palmer; Gert Cauwenberghs; Scott Makeig; Arnaud Delorme (BIBE, 2023)

A Comparison of Neuroelectrophysiology Databases. - 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; et al. (CoRR, 2023)

Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). - Kay Robbins; Dung Truong; Alexander Jones; Ian Callanan; Scott Makeig (Neuroinformatics, 2023)

bids-specification. - 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; et al. (Zenodo, 2023)

Automatic EEG Independent Component Classification Using ICLabel in Python. - Arnaud Delorme; Dung Truong; Luca Pion-Tonachini; Scott Makeig (BIBM, 2024)

Events in context - The HED framework for the study of brain, experience and behavior. - Scott Makeig; Kay Robbins (Frontiers Neuroinformatics, 2024)

The Brain Imaging Data Structure (BIDS) Specification. - 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; et al. (Zenodo, 2024)

Enhancing Juggling Proficiency Through Slow-Tempo Virtual Reality Training. - Wanhee Cho; Makoto Kobayashi; Hiroyuki Kambara; Hirokazu Tanaka; Takahiro Kagawa; Makoto Sato; Hyeonseok Kim; Makoto Miyakoshi; Scott Makeig; John R. Iversen; Natsue Yoshimura (VR Workshops, 2025)

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding. - Bruno Aristimunha; Dung Truong; Pierre Guetschel; Seyed Yahya Shirazi; Isabelle Guyon; Alexandre R. Franco; Michael P. Milham; Aviv Dotan; Scott Makeig; Alexandre Gramfort; Jean-Remi King; Marie-Constance Corsi; et al. (CoRR, 2025)