Dr Michael McCullough
Postdoc Research Fellow
Queensland Brain Institute
+61 7 334 66340
Journal Articles
McCullough, Michael Hugh (2019). Nonlinear time series analysis using ordinal networks with select applications in biomedical signal processing. Bulletin of the Australian Mathematical Society, 100 (1), 170-172. doi: 10.1017/S0004972719000480
McCullough, M., Small, M., Iu, H. H. C. and Stemler, T. (2017). Multiscale ordinal network analysis of human cardiac dynamics. Philosophical Transactions of the Royal Society A-Mathematical Physical and Engineering Sciences, 375 (2096), 20160292. doi: 10.1098/rsta.2016.0292
McCullough, Michael, Sakellariou, Konstantinos, Stemler, Thomas and Small, Michael (2017). Regenerating time series from ordinal networks. Chaos, 27 (3) 035814, 035814. doi: 10.1063/1.4978743
McCullough, Michael, Sakellariou, Konstantinos, Stemler, Thomas and Small, Michael (2016). Counting forbidden patterns in irregularly sampled time series. I. The effects of under-sampling, random depletion, and timing jitter. Chaos, 26 (12), 123103. doi: 10.1063/1.4968551
Sakellariou, Konstantinos, McCullough, Michael, Stemler, Thomas and Small, Michael (2016). Counting forbidden patterns in irregularly sampled time series. II. Reliability in the presence of highly irregular sampling. Chaos, 26 (12), 123104. doi: 10.1063/1.4970483
McCullough, Michael, Small, Michael, Stemler, Thomas and Iu, Herbert Ho-Ching (2015). Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems. Chaos, 25 (5), 053101. doi: 10.1063/1.4919075
Conference Papers
Small, Michael, McCullough, Michael and Sakellariou, Konstantinos (2018). Ordinal Network Measures - Quantifying Determinism in Data. 2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 27-30 May 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iscas.2018.8351743
McCullough, M. H., Iu, H. H C and Muthuswamy, B. (2013). Chaotic behaviour in a three element memristor based circuit using fourth order polynomial and PWL nonlinearity. 2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013, Beijing, China, 19 - 23 May 2013. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/iscas.2013.6572446