Nima Bigdely Shamlo

According to our database, Nima Bigdely Shamlo authored at least 23 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

2018

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

Nima Bigdely Shamlo, Gabriel Ibagon, Christian Kothe, Tim R. Mullen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

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

Gabriel Ibagon, Christian Kothe, Nima Bigdely Shamlo, Tim R. Mullen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

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

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

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

Kenneth Ball, Nima Bigdely Shamlo, Tim R. Mullen, Kay Robbins

Comput. Intell. Neurosci., 2016

2015

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

Selective Transfer Learning for EEG-Based Drowsiness Detection.

Chun-Shu Wei, Yuan-Pin Lin, Yu-Te Wang, Tzyy-Ping Jung, Nima Bigdely Shamlo, Chin-Teng Lin

Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014

Basis selection for maximally independent EEG sources.

Ozgur Balkan, Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Scott Makeig

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

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

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Towards an EEG search engine.

Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Christian Kothe, Scott Makeig

Proceedings of the IEEE Global Conference on Signal and Information Processing, 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

Proceedings of the IEEE Global Conference on Signal and Information Processing, 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

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Evolving Signal Processing for Brain-Computer Interfaces.

Scott Makeig, Christian Kothe, Tim R. Mullen, Nima Bigdely Shamlo, Zhilin Zhang, Kenneth Kreutz-Delgado

Proc. IEEE, 2012

2011

A disk-aware algorithm for time series motif discovery.

Abdullah Mueen, Eamonn J. Keogh, Qiang Zhu, Sydney Cash, M. Brandon Westover, Nima Bigdely Shamlo

Data Min. Knowl. Discov., 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

First Demonstration of a Musical Emotion BCI.

Scott Makeig, Grace Leslie, Tim R. Mullen, Devpratim Sarma, Nima Bigdely Shamlo, Christian Kothe

Proceedings of the Affective Computing and Intelligent Interaction, 2011

2010

MATLAB-Based Tools for BCI Research.

Arnaud Delorme, Christian Kothe, Andrey Vankov, Nima Bigdely Shamlo, Robert Oostenveld, Thorsten O. Zander, Scott Makeig

Proceedings of the Brain-Computer Interfaces, 2010

2009

Finding Time Series Motifs in Disk-Resident Data.

Abdullah Mueen, Eamonn J. Keogh, Nima Bigdely Shamlo

Proceedings of the ICDM 2009, 2009

Mind-Mirror: EEG-Guided Image Evolution.

Nima Bigdely Shamlo, Scott Makeig

Proceedings of the Human-Computer Interaction. Novel Interaction Methods and Techniques, 2009