Kay Robbins
Kay Robbins
Professor Emeritus of Computer Science University of Texas at San Antonio
Verified email at
Cited by
Cited by
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
Propagating waves mediate information transfer in the motor cortex
D Rubino, KA Robbins, NG Hatsopoulos
Nature neuroscience 9 (12), 1549-1557, 2006
An empirical evaluation of client-side server selection algorithms
SG Dykes, KA Robbins, CL Jeffery
Proceedings IEEE INFOCOM 2000. Conference on computer communications …, 2000
Detection and classification of subject-generated artifacts in EEG signals using autoregressive models
V Lawhern, WD Hairston, K McDowell, M Westerfield, K Robbins
Journal of neuroscience methods 208 (2), 181-189, 2012
Periodic solutions and bifurcation structure at high R in the Lorenz model
KA Robbins
SIAM Journal on Applied Mathematics 36 (3), 457-472, 1979
Nonlinear dynamics of a convection loop: a quantitative comparison of experiment with theory
M Gorman, PJ Widmann, KA Robbins
Physica D: Nonlinear Phenomena 19 (2), 255-267, 1986
A new approach to subcritical instability and turbulent transitions in a simple dynamo
KA Robbins
Mathematical Proceedings of the Cambridge Philosophical Society 82 (2), 309-325, 1977
A viability analysis of cooperative proxy caching
SG Dykes, KA Robbins
Proceedings IEEE INFOCOM 2001. Conference on Computer Communications …, 2001
Unix Systems Programming: Communication, Concurrency And Threads, 2/E
R Kay
Pearson Education India, 2004
Practical UNIX programming: a guide to concurrency, communication, and multithreading
KA Robbins, S Robbins
Prentice-Hall, Inc., 1995
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
Chaotic flow regimes in a convection loop
M Gorman, PJ Widmann, KA Robbins
Physical Review Letters 52 (25), 2241, 1984
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
Experimental observation of ordered states of cellular flames
M Gorman, M El-Hamdi, KA Robbins
Combustion science and technology 98 (1-3), 37-45, 1994
Modal behavior of cortical neural networks during visual processing
DM Senseman, KA Robbins
The Journal of Neuroscience 19 (10), RC3, 1999
Cellular pattern formation in circular domains
A Palacios, GH Gunaratne, M Gorman, KA Robbins
Chaos: An Interdisciplinary Journal of Nonlinear Science 7 (3), 463-475, 1997
Rotating and modulated rotating states of cellular flames
M Gorman, CF Hamill, M El-Hadi, KA Robbins
Combustion science and technology 98 (1-3), 25-35, 1994
DETECT: A MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals
V Lawhern, WD Hairston, K Robbins
PloS one 8 (4), e62944, 2013
Detecting alpha spindle events in EEG time series using adaptive autoregressive models
V Lawhern, S Kerick, KA Robbins
BMC neuroscience 14, 1-16, 2013
Deterministic chaos in laminar premixed flames: Experimental classification of chaotic dynamics
M el-HAMDI, M Gorman, KA Robbins
Combustion science and technology 94 (1-6), 87-101, 1993
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