Michael McCullough
Michael McCullough
Postdoctoral Research Fellow, Queensland Brain Institute, University of Queensland
Verified email at uq.edu.au
TitleCited byYear
Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems
M McCullough, M Small, T Stemler, HHC Iu
Chaos: An Interdisciplinary Journal of Nonlinear Science 25 (5), 053101, 2015
462015
Multiscale ordinal network analysis of human cardiac dynamics
M McCullough, M Small, HHC Iu, T Stemler
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2017
172017
Regenerating time series from ordinal networks
M McCullough, K Sakellariou, T Stemler, M Small
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (3), 035814, 2017
172017
Counting forbidden patterns in irregularly sampled time series. I. The effects of under-sampling, random depletion, and timing jitter
M McCullough, K Sakellariou, T Stemler, M Small
Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (12), 123103, 2016
172016
Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling
K Sakellariou, M McCullough, T Stemler, M Small
Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (12), 123104, 2016
142016
Chaotic behaviour in a three element memristor based circuit using fourth order polynomial and PWL nonlinearity
MH McCullough, HHC Iu, B Muthuswamy
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2743-2746, 2013
72013
Ordinal network measures—quantifying determinism in data
M Small, M McCullough, K Sakellariou
2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018
32018
Nonlinear time series analysis using ordinal networks with select applications in biomedical signal processing
MH McCullough
Bulletin of the Australian Mathematical Society 100 (1), 170-172, 2019
2019
Measuring the Complexity of Time Series Using Ordinal Partition Networks
M McCullough, M Small, HHC Iu
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