Kay A. Robbins

The University of Texas at San Antonio, San Antonio, TX, United States 
Computational Neuroscience
"Kay Robbins"

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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Doug Rubino collaborator 2005-2007 UCSD
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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
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
Meng J, Meriño LM, Robbins K, et al. (2014) Classification of imperfectly time-locked image RSVP events with EEG device. Neuroinformatics. 12: 261-75
Mao Z, Lawhern V, Merino LM, et al. (2014) Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning 2014 Ieee China Summit and International Conference On Signal and Information Processing, Ieee Chinasip 2014 - Proceedings. 520-524
Su K, Robbins KA. (2013) A Framework for Content-based Retrieval of EEG with Applications to Neuroscience and Beyond. Proceedings of ... International Joint Conference On Neural Networks / Co-Sponsored by Japanese Neural Network Society (Jnns) ... [Et Al.]. International Joint Conference On Neural Networks. 1-8
Lawhern V, Kerick S, Robbins KA. (2013) Detecting alpha spindle events in EEG time series using adaptive autoregressive models. Bmc Neuroscience. 14: 101
Lawhern V, Hairston WD, Robbins K. (2013) DETECT: a MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals. Plos One. 8: e62944
Merino LM, Meng J, Gordon S, et al. (2013) A bag-of-words model for task-load prediction from EEG in complex environments Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1227-1231
Ahmed S, Mauricio Merino L, Mao Z, et al. (2013) A Deep Learning method for classification of images RSVP events with EEG data 2013 Ieee Global Conference On Signal and Information Processing, Globalsip 2013 - Proceedings. 33-36
Su K, Robbins KA. (2013) Content-based EEG database retrieval using a multiclass SVM classifier 2013 Ieee Global Conference On Signal and Information Processing, Globalsip 2013 - Proceedings. 17-20
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