Utilizing Secondary Input from Passive Brain-Computer Interfaces for Enhancing Human-Machine Interaction. - Thorsten O. Zander; Christian Kothe; Sebastian Welke; Matthias Roetting (HCI (16), 2009)

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)

Enhancing Human-Computer Interaction with Input from Active and Passive Brain-Computer Interfaces. - Thorsten O. Zander; Christian Kothe; Sabine Jatzev; Matti Gaertner (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)

Estimation of task workload from EEG data: New and current tools and perspectives. - Christian Andreas Kothe; 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)

Combining Eye Gaze Input With a Brain-Computer Interface for Touchless Human-Computer Interaction. - Thorsten O. Zander; Matti Gaertner; Christian Kothe; Roman Vilimek (Int. J. Hum. Comput. Interact., 2011)

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)

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)

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)

The PREP pipeline: standardized preprocessing for large-scale EEG analysis. - Nima Bigdely Shamlo; Tim R. Mullen; Christian Kothe; Kyungmin Su; Kay A. Robbins (Frontiers Neuroinformatics, 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)

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

Deep Neural Networks for Forecasting Single-Trial Event-Related Neural Activity. - Gabriel Ibagon; Christian Kothe; Nima Bigdely Shamlo; Tim R. Mullen (SMC, 2018)

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

Finding the Optimal Cross-Subject EEG Data Alignment Method for Analysis and BCI. - Nima Bigdely Shamlo; Gabriel Ibagon; Christian Kothe; Tim R. Mullen (SMC, 2018)

Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies. - Nima Bigdely Shamlo; Jonathan Touryan; Alejandro Ojeda; Christian Kothe; Tim R. Mullen; Kay Robbins (NeuroImage, 2020)

Automated EEG mega-analysis II: Cognitive aspects of event related features. - Nima Bigdely Shamlo; Jonathan Touryan; Alejandro Ojeda; Christian Kothe; Tim R. Mullen; Kay Robbins (NeuroImage, 2020)

Decoding Working-Memory Load During n-Back Task Performance from High Channel NIRS Data. - Christian Kothe; Grant Hanada; Sean Mullen; Tim R. Mullen (CoRR, 2023)