Tim R. Mullen

发表

Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies

Nima Bigdely Shamlo, Jonathan Touryan, Alejandro Ojeda, 2020, NeuroImage.

MoodMixer: EEG-based Collaborative Sonification

Tim R. Mullen, Grace Leslie, T. Mullen, 2011, NIME.

Measure projection analysis: A probabilistic approach to EEG source comparison and multi-subject inference

Kenneth Kreutz-Delgado, Scott Makeig, Nima Bigdely Shamlo, 2013, NeuroImage.

Causal analysis of cortical networks involved in reaching to spatial targets

Gert Cauwenberghs, Markus Plank, Howard Poizner, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG

Tzyy-Ping Jung, Gert Cauwenberghs, Scott Makeig, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Real-Time Adaptive EEG Source Separation Using Online Recursive Independent Component Analysis

Tzyy-Ping Jung, Gert Cauwenberghs, Sheng-Hsiou Hsu, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

The PREP pipeline: standardized preprocessing for large-scale EEG analysis

Kyungmin Su, Kay A. Robbins, Nima Bigdely Shamlo, 2015, Front. Neuroinform..

Automated detection of cross-frequency coupling in the electrocorticogram for clinical inspection

Arnaud Delorme, Scott Makeig, Makoto Miyakoshi, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep Neural Networks for Forecasting Single-Trial Event-Related Neural Activity

Nima Bigdely Shamlo, Christian Kothe, Tim R. Mullen, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Modeling cortical source dynamics and interactions during seizure

Gregory A. Worrell, Scott Makeig, Tim R. Mullen, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG

Nima Bigdely Shamlo, Tim R. Mullen, Kay Robbins, 2016, Comput. Intell. Neurosci..

Multivariate principal oscillation pattern analysis of ICA sources during seizure

Gregory A. Worrell, Scott Makeig, Tim R. Mullen, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Volume Conduction Influences Scalp-Based Connectivity Estimates

Clemens Brunner, Scott Makeig, Tim R. Mullen, 2016, Front. Comput. Neurosci..

Real-time neuroimaging and cognitive monitoring using wearable dry EEG

Tzyy-Ping Jung, Gert Cauwenberghs, Scott Makeig, 2015, IEEE Transactions on Biomedical Engineering.

Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving

Jean M. Vettel, Tony Johnson, Tim R. Mullen, 2016, NeuroImage.

Automated EEG mega-analysis II: Cognitive aspects of event related features

Nima Bigdely Shamlo, Jonathan Touryan, Alejandro Ojeda, 2020, NeuroImage.

STRUM: A New Dataset for Neuroergonomics Research

Scott Makeig, Tim R. Mullen, Christian Kothe, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Minding the (Transatlantic) Gap: An Internet-Enabled Acoustic Brain-Computer Music Interface

Tim R. Mullen, Adam Jansch, Richard Warp, 2011, NIME.

Online recursive independent component analysis for real-time source separation of high-density EEG

Tzyy-Ping Jung, Gert Cauwenberghs, Sheng-Hsiou Hsu, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

First Demonstration of a Musical Emotion BCI

Scott Makeig, Nima Bigdely Shamlo, Tim R. Mullen, 2011, ACII.

EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing

Arnaud Delorme, Scott Makeig, Nima Bigdely Shamlo, 2011, Comput. Intell. Neurosci..

Fast and robust Block-Sparse Bayesian learning for EEG source imaging

Kenneth Kreutz-Delgado, Alejandro Ojeda, Tim R. Mullen, 2018, NeuroImage.

Evolving Signal Processing for Brain–Computer Interfaces

Zhilin Zhang, Kenneth Kreutz-Delgado, Scott Makeig, 2012, Proceedings of the IEEE.

Finding the Optimal Cross-Subject EEG Data Alignment Method for Analysis and BCI

Nima Bigdely Shamlo, Tim R. Mullen, Gabriel Ibagon, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).