Kay Robbins
Kay Robbins
Professor Emeritus of Computer Science University of Texas at San Antonio
Verified email at utsa.edu
Cited by
Cited by
Propagating waves mediate information transfer in the motor cortex
D Rubino, KA Robbins, NG Hatsopoulos
Nature neuroscience 9 (12), 1549-1557, 2006
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
An empirical evaluation of client-side server selection algorithms
SG Dykes, KA Robbins, CL Jeffery
Proceedings IEEE INFOCOM 2000. Conference on computer communications …, 2000
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
Periodic solutions and bifurcation structure at high R in the Lorenz model
KA Robbins
SIAM Journal on Applied Mathematics 36 (3), 457-472, 1979
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
A viability analysis of cooperative proxy caching
SG Dykes, KA Robbins
Proceedings IEEE INFOCOM 2001. Conference on Computer Communications …, 2001
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
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
Chaotic flow regimes in a convection loop
M Gorman, PJ Widmann, KA Robbins
Physical Review Letters 52 (25), 2241, 1984
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
Journal of Neuroscience 19 (10), RC3-RC3, 1999
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
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
Detecting alpha spindle events in EEG time series using adaptive autoregressive models
V Lawhern, S Kerick, KA Robbins
BMC neuroscience 14 (1), 1-16, 2013
Karhunen-Loeve analysis of spatiotemporal flame patterns
A Palacios, GH Gunaratne, M Gorman, KA Robbins
Physical Review E 57 (5), 5958, 1998
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
High-speed VSD imaging of visually evoked cortical waves: decomposition into intra-and intercortical wave motions
DM Senseman, KA Robbins
Journal of neurophysiology 87 (3), 1499-1514, 2002
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