Nima Bigdely-Shamlo, Ph.D.
Affiliations: | 2014 | Electrical Engineering (Intelsys, Robotics and Cont) | University of California, San Diego, La Jolla, CA |
Area:
Neuroscience Biology, Statistics, Computer ScienceGoogle:
"Nima Bigdely-Shamlo"Parents
Sign in to add mentor| Kenneth Kreutz-Delgado | grad student | 2014 | UCSD | |
| (Combining EEG Source Dynamics Results across Subjects, Studies and Cognitive Events.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Robbins KA, Touryan J, Mullen T, et al. (2020) How Sensitive are EEG Results to Preprocessing Methods: A Benchmarking Study. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society |
| Bigdely-Shamlo N, Touryan J, Ojeda A, et al. (2019) Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies. Neuroimage. 116361 |
| Bigdely-Shamlo N, Touryan J, Ojeda A, et al. (2019) Automated EEG mega-analysis II: Cognitive aspects of event related features. Neuroimage. 116054 |
| Touryan J, Lawhern VJ, Connolly PM, et al. (2017) Isolating Discriminant Neural Activity in the Presence of Eye Movements and Concurrent Task Demands. Frontiers in Human Neuroscience. 11: 357 |
| Kleifges K, Bigdely-Shamlo N, Kerick SE, et al. (2017) BLINKER: Automated Extraction of Ocular Indices from EEG Enabling Large-Scale Analysis. Frontiers in Neuroscience. 11: 12 |
| Bigdely-Shamlo N, Cockfield J, Makeig S, et al. (2016) Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG. Frontiers in Neuroinformatics. 10: 42 |
| Ball K, Bigdely-Shamlo N, Mullen T, et al. (2016) PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG. Computational Intelligence and Neuroscience. 2016: 9754813 |
| Bigdely-Shamlo N, Makeig S, Robbins KA. (2016) Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach. Frontiers in Neuroinformatics. 10: 7 |
| Wei CS, Lin YP, Wang YT, et al. (2016) Selective Transfer Learning for EEG-Based Drowsiness Detection Proceedings - 2015 Ieee International Conference On Systems, Man, and Cybernetics, Smc 2015. 3229-3232 |
| Bigdely-Shamlo N, Mullen T, Kothe C, et al. (2015) The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics. 9: 16 |