Mark Damian McDonnell
Affiliations: | University of Adelaide, Adelaide, South Australia, Australia |
Area:
Computational neuroscience, stochastic neurodynamical modelsWebsite:
http://www.eleceng.adelaide.edu.au/Personal/mmcdonne/Google:
"Mark McDonnell"Mean distance: 20.7 (cluster 39)
Cross-listing: Computational Biology Tree
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Publications
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| Moezzi B, Schaworonkow N, Plogmacher L, et al. (2018) Simulation of electromyographic recordings following transcranial magnetic stimulation. Journal of Neurophysiology |
| Xu L, Duan F, Gao X, et al. (2017) Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance. Royal Society Open Science. 4: 160889 |
| Newton AJH, Seidenstein AH, McDougal RA, et al. (2017) 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18 |
| Sharpee TO, Destexhe A, Kawato M, et al. (2016) 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54 |
| Moezzi B, Iannella N, McDonnell MD. (2016) Ion channel noise can explain firing correlation in auditory nerves. Journal of Computational Neuroscience |
| McDonnell MD, Goldwyn JH, Lindner B. (2016) Editorial: Neuronal Stochastic Variability: Influences on Spiking Dynamics and Network Activity. Frontiers in Computational Neuroscience. 10: 38 |
| Gunn LJ, Chapeau-Blondeau F, McDonnell MD, et al. (2016) Too good to be true: when overwhelming evidence fails to convince. Proceedings. Mathematical, Physical, and Engineering Sciences / the Royal Society. 472: 20150748 |
| Xu L, Duan F, Abbott D, et al. (2016) Optimal weighted suprathreshold stochastic resonance with multigroup saturating sensors Physica a: Statistical Mechanics and Its Applications. 457: 348-355 |
| McDonnell MD, Iannella N, To MS, et al. (2015) A review of methods for identifying stochastic resonance in simulations of single neuron models. Network (Bristol, England). 26: 35-71 |
| Greenwood PE, McDonnell MD, Ward LM. (2015) Dynamics of gamma bursts in local field potentials. Neural Computation. 27: 74-103 |