| 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 | 1052 | 2015 |
| EEGLAB, SIFT, NFT, BCILAB, and ERICA: new tools for advanced EEG processing A Delorme, T Mullen, C Kothe, Z Akalin Acar, N Bigdely-Shamlo, ... Computational intelligence and neuroscience 2011 (1), 130714, 2011 | 743 | 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 | 242 | 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 | 222 | 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 | 206 | 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 | 102 | 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 | 100 | 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 | 92 | 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 | 83 | 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 | 79 | 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, 12, 2017 | 78 | 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 | 64 | 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 | 64 | 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 | 60 | 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 | 40 | 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 | 39 | 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 | 38 | 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 | 36 | 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 | 35 | 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 | 32 | 2013 |
Scott MakeigDirector, Swartz Center for Computational Neuroscience, Institute for Neural Computation, UCSD在 ucsd.edu 的电子邮件经过验证
