Mark D. McDonnell
| Mark D. McDonnell | ||||
|---|---|---|---|---|
| Person_Name: | Mark D. McDonnell | |||
| Birth_Place: | , Australia | |||
| Workplaces: | University of Adelaide | |||
| High_School: | [[]] | |||
| Undergrad_University: | University of Adelaide | |||
| Doctoral_University: | University of Adelaide | |||
| Doctoral_Degree: | Electrical & Electronic Engineering () | |||
| Doctoral_Advisors: | Derek Abbott | |||
Mark D. McDonnell
Contents
Bachelor's degree #1
- Project:
Bachelor's degree #2
- Project:
Doctoral degree
- Electrical & Electronic Engineering (), University of Adelaide, Australia
- Thesis: , under Derek Abbott
Positions
Awards
- TBA
Scientific genealogy
Google Scholar profile
Book chapters
Journal articles
[1] L. Xu, F. Duan, D. Abbott, and M. D. McDonnell, "Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance," Royal Society Open Science, Vol. 4, art. no. 160889, 2017, http://dx.doi.org/10.1098/rsos.160889 Scholar Google hits ResearchGate Academia
[2] L. J. Gunn, F. Chapeau-Blondeau, M. D. McDonnell, B. R. Davis, Andrew Allison and D. Abbott, "Too good to be true: when overwhelming evidence fails to convince," Proceedings of the Royal Society London A, Vol. 472, art. no. 20150748, 2016, http://dx.doi.org/10.1098/rspa.2015.0748 Scholar Google hits ResearchGate Academia
[3] L. Xu, T. Vladusich, F. Duan, L. J. Gunn, D. Abbott and M. D. McDonnell, "Decoding suprathreshold stochastic resonance with optimal weights," Physics Letters A, Vol. 379, No. 38, pp. 2277–2283, 2015, http://dx.doi.org/10.1016/j.physleta.2015.05.032 Scholar Google hits ResearchGate
[4] M. D. McDonnell, A. J. Grant, I. Land, B. N. Vellambi, D. Abbott, and K. Lever, "Gain from the two-envelope problem via information asymmetry: on the suboptimality of randomized switching," Proceedings of the Royal Society London A, Vol. 467, pp. 2825–2851, 2011, http://dx.doi.org/10.1098/rspa.2010.0541
