Kay A. Robbins
Affiliations: | The University of Texas at San Antonio, San Antonio, TX, United States |
Area:
Computational NeuroscienceWebsite:
http://www.cs.utsa.edu/~krobbins/Google:
"Kay Robbins"Bio:
Kay has collaborated with several Neuroscientists including Phil Ulinski, David Senseman and Nicho Hatsopoulas to elucidate the computational properties of propagating cortical waves. She also designs elegant visual and theoretical solutions to problems in high dimensional data analysis, with an emphasis on multi-site data in neuroscience.
Mean distance: 106866
Cross-listing: Computational Biology Tree
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Publications
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| 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 |
| Robbins K, Su KM, Hairston WD. (2018) An 18-subject EEG data collection using a visual-oddball task, designed for benchmarking algorithms and headset performance comparisons. Data in Brief. 16: 227-230 |
| 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 |
| Meng J, Meriño LM, Robbins K, et al. (2014) Classification of imperfectly time-locked image RSVP events with EEG device. Neuroinformatics. 12: 261-75 |
| Cockfield J, Su K, Robbins KA. (2013) MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB. Frontiers in Neuroinformatics. 7: 20 |