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Tim R. Mullen

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2020 – today

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2023
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  - journals/corr/abs-2312-07546
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Christian Kothe, Grant Hanada, Sean Mullen, Tim R. Mullen:
Decoding Working-Memory Load During n-Back Task Performance from High Channel NIRS Data. CoRR abs/2312.07546 (2023)
2020
[j11]
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  - journals/neuroimage/ShamloTOKMR20
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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)
[j10]
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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)
[c16]
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  - conf/ahfe/DehaisSMC20
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Frédéric Dehais, Bertille Somon, Tim R. Mullen, Daniel E. Callan:
A Neuroergonomics Approach to Measure Pilot's Cognitive Incapacitation in the Real World with EEG. AHFE (1) 2020: 111-117

2010 – 2019

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2019
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Frédéric Dehais, Imad Rida, Raphaëlle N. Roy, John R. Iversen, Tim R. Mullen, Daniel E. Callan:
A pBCI to Predict Attentional Error Before it Happens in Real Flight Conditions. SMC 2019: 4155-4160
2018
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  - journals/neuroimage/OjedaKM18
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Alejandro Ojeda, Kenneth Kreutz-Delgado, Tim R. Mullen:
Fast and robust Block-Sparse Bayesian learning for EEG source imaging. NeuroImage 174: 449-462 (2018)
[c14]
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Tim R. Mullen, Christian Kothe, Scott Makeig:
STRUM: A New Dataset for Neuroergonomics Research. SMC 2018: 77-82
[c13]
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  - conf/smc/IbagonKBM18
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Gabriel Ibagon, Christian Kothe, Nima Bigdely Shamlo, Tim R. Mullen:
Deep Neural Networks for Forecasting Single-Trial Event-Related Neural Activity. SMC 2018: 1070-1075
[c12]
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Nima Bigdely Shamlo, Gabriel Ibagon, Christian Kothe, Tim R. Mullen:
Finding the Optimal Cross-Subject EEG Data Alignment Method for Analysis and BCI. SMC 2018: 1110-1115
2017
[j8]
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  - journals/neuroimage/GarciaBKJMV17
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Javier O. Garcia, Justin Brooks, Scott E. Kerick, Tony Johnson, Tim R. Mullen, Jean M. Vettel:
Estimating direction in brain-behavior interactions: Proactive and reactive brain states in driving. NeuroImage 150: 239-249 (2017)
2016
[j7]
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  - journals/cin/BallSMR16
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Kenneth Ball, Nima Bigdely Shamlo, Tim R. Mullen, Kay Robbins:
PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG. Comput. Intell. Neurosci. 2016: 9754813:1-9754813:20 (2016)
[j6]
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  - journals/ficn/BrunnerBSMM16
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Clemens Brunner, Martin Billinger, Martin Seeber, Tim R. Mullen, Scott Makeig:
Volume Conduction Influences Scalp-Based Connectivity Estimates. Frontiers Comput. Neurosci. 10: 121 (2016)
2015
[j5]
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  - journals/fini/ShamloMKSR15
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Nima Bigdely Shamlo, Tim R. Mullen, Christian Kothe, Kyungmin Su, Kay A. Robbins:
The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers Neuroinformatics 9: 16 (2015)
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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)
[c11]
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  - conf/ner/HsuMJC15
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Sheng-Hsiou Hsu, Tim R. Mullen, Tzyy-Ping Jung, Gert Cauwenberghs:
Validating online recursive independent component analysis on EEG data. NER 2015: 918-921
2014
[c10]
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  - conf/embc/HsuMJC14
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Sheng-Hsiou Hsu, Tim R. Mullen, Tzyy-Ping Jung, Gert Cauwenberghs:
Online recursive independent component analysis for real-time source separation of high-density EEG. EMBC 2014: 3845-3848
[c9]
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John R. Iversen, Alejandro Ojeda, Tim R. Mullen, Markus Plank, Joseph Snider, Gert Cauwenberghs, Howard Poizner:
Causal analysis of cortical networks involved in reaching to spatial targets. EMBC 2014: 4399-4402
[c8]
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  - conf/intenv/ZaoGYMCWMJ14
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John K. Zao, Tchin Tze Gan, Chun Kai You, Sergio Jose Rodriguez Mendez, Cheng En Chung, Yu-Te Wang, Tim R. Mullen, Tzyy-Ping Jung:
Augmented Brain Computer Interaction Based on Fog Computing and Linked Data. Intelligent Environments 2014: 374-377
2013
[j3]
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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)
[c7]
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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
[c6]
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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
2012
[j2]
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  - journals/pieee/MakeigKMSZK12
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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)
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Tim R. Mullen, Gregory A. Worrell, Scott Makeig:
Multivariate principal oscillation pattern analysis of ICA sources during seizure. EMBC 2012: 2921-2924
2011
[j1]
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  - journals/cin/DelormeMKASVM11
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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)
[c4]
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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
[c3]
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Tim R. Mullen, Zeynep Akalin Acar, Gregory A. Worrell, Scott Makeig:
Modeling cortical source dynamics and interactions during seizure. EMBC 2011: 1411-1414
[c2]
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  - conf/nime/LeslieM11
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Grace Leslie, Tim R. Mullen:
MoodMixer: EEG-based Collaborative Sonification. NIME 2011: 296-299
[c1]
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Tim R. Mullen, Richard Warp, Adam Jansch:
Minding the (Transatlantic) Gap: An Internet-Enabled Acoustic Brain-Computer Music Interface. NIME 2011: 469-472

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