Nima Bigdely-Shamlo
Nima Bigdely-Shamlo
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Zitiert von
Zitiert von
The PREP pipeline: standardized preprocessing for large-scale EEG analysis
N Bigdely-Shamlo, T Mullen, C Kothe, KM Su, KA Robbins
Frontiers in neuroinformatics 9, 16, 2015
EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing
A Delorme, T Mullen, C Kothe, ZA Acar, N Bigdely-Shamlo, A Vankov, ...
Computational intelligence and neuroscience 2011, 10-10, 2011
Visual evoked responses during standing and walking
K Gramann, JT Gwin, N Bigdely-Shamlo, DP Ferris, S Makeig
Frontiers in human neuroscience 4, 202, 2010
Brain activity-based image classification from rapid serial visual presentation
N Bigdely-Shamlo, A Vankov, RR Ramirez, S Makeig
IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 (5 …, 2008
Evolving Signal Processing for Brain–Computer Interfaces
S Makeig, C Kothe, T Mullen, N Bigdely-Shamlo, Z Zhang, ...
Proceedings of the IEEE 100 (Special Centennial Issue), 1567 - 1584, 2012
MoBILAB: an open source toolbox for analysis and visualization of mobile brain/body imaging data
A Ojeda, N Bigdely-Shamlo, S Makeig
Frontiers in human neuroscience 8, 121, 2014
Measure projection analysis: a probabilistic approach to EEG source comparison and multi-subject inference
N Bigdely-Shamlo, T Mullen, K Kreutz-Delgado, S Makeig
Neuroimage 72, 287-303, 2013
How sensitive are EEG results to preprocessing methods: a benchmarking study
KA Robbins, J Touryan, T Mullen, C Kothe, N Bigdely-Shamlo
IEEE transactions on neural systems and rehabilitation engineering 28 (5 …, 2020
EyeCatch: Data-mining over half a million EEG independent components to construct a fully-automated eye-component detector
N Bigdely-Shamlo, K Kreutz-Delgado, C Kothe, S Makeig
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
Finding time series motifs in disk-resident data
A Mueen, E Keogh, N Bigdely-Shamlo
2009 Ninth IEEE International Conference on Data Mining, 367-376, 2009
BLINKER: Automated extraction of ocular indices from EEG enabling large-scale analysis
K Kleifges, N Bigdely-Shamlo, SE Kerick, KA Robbins
Frontiers in neuroscience 11, 231855, 2017
Selective transfer learning for EEG-based drowsiness detection
CS Wei, YP Lin, YT Wang, TP Jung, N Bigdely-Shamlo, CT Lin
2015 IEEE International Conference on Systems, Man, and Cybernetics, 3229-3232, 2015
First demonstration of a musical emotion BCI
S Makeig, G Leslie, T Mullen, D Sarma, N Bigdely-Shamlo, C Kothe
Affective Computing and Intelligent Interaction: Fourth International …, 2011
MATLAB-based tools for BCI research
A Delorme, C Kothe, A Vankov, N Bigdely-Shamlo, R Oostenveld, ...
Brain-Computer Interfaces: Applying our Minds to Human-Computer Interaction …, 2010
Preparing laboratory and real-world EEG data for large-scale analysis: a containerized approach
N Bigdely-Shamlo, S Makeig, KA Robbins
Frontiers in neuroinformatics 10, 7, 2016
A disk-aware algorithm for time series motif discovery
A Mueen, E Keogh, Q Zhu, SS Cash, MB Westover, N Bigdely-Shamlo
Data mining and knowledge discovery 22, 73-105, 2011
Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies
N Bigdely-Shamlo, J Touryan, A Ojeda, C Kothe, T Mullen, K Robbins
NeuroImage 207, 116361, 2020
Hierarchical event descriptor (HED) tags for analysis of event-related EEG studies
N Bigdely-Shamlo, K Kreutz-Delgado, K Robbins, M Miyakoshi, ...
2013 IEEE Global Conference on Signal and Information Processing, 1-4, 2013
Hierarchical Event Descriptors (HED): Semi-structured tagging for real-world events in large-scale EEG
N Bigdely-Shamlo, J Cockfield, S Makeig, T Rognon, C La Valle, ...
Frontiers in neuroinformatics 10, 42, 2016
Comparison of averaging and regression techniques for estimating event related potentials
MD Burns, N Bigdely-Shamlo, NJ Smith, K Kreutz-Delgado, S Makeig
2013 35th annual international conference of the IEEE engineering in …, 2013
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