| A model for predicting magnetic particle capture in a microfluidic bioseparator EP Furlani, Y Sahoo, KC Ng, JC Wortman, TE Monk Biomedical Microdevices 9, 451-463, 2007 | 103 | 2007 |
| Martingales and fixation probabilities of evolutionary graphs T Monk, P Green, M Paulin Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2014 | 67 | 2014 |
| Predation and the origin of neurones T Monk, MG Paulin Brain Behavior and Evolution 84 (4), 246-261, 2014 | 66 | 2014 |
| Martingales and the fixation probability of high-dimensional evolutionary graphs T Monk Journal of theoretical biology 451, 10-18, 2018 | 23 | 2018 |
| Ecological constraints on the origin of neurones T Monk, MG Paulin, P Green Journal of mathematical biology 71, 1299-1324, 2015 | 15 | 2015 |
| Wald’s martingale and the conditional distributions of absorption time in the Moran process T Monk, A van Schaik Proceedings of the Royal Society A 476 (2241), 20200135, 2020 | 10 | 2020 |
| Optimal neural inference of stimulus intensities T Monk, C Savin, J Lücke Scientific reports 8 (1), 10038, 2018 | 9 | 2018 |
| Noise-robust text-dependent speaker identification using cochlear models MA Islam, Y Xu, T Monk, S Afshar, A van Schaik The Journal of the Acoustical Society of America 151 (1), 500-516, 2022 | 8 | 2022 |
| The evolutionary origin of nervous systems and implications for neural computation T Monk University of Otago, 2014 | 7 | 2014 |
| Martingales and the characteristic functions of absorption time on bipartite graphs T Monk, A van Schaik Royal Society Open Science 8 (10), 210657, 2021 | 6 | 2021 |
| Neurons equipped with intrinsic plasticity learn stimulus intensity statistics T Monk, C Savin, J Lücke Advances in neural information processing systems 29, 2016 | 6 | 2016 |
| Martingales and the fixation time of evolutionary graphs with arbitrary dimensionality T Monk, A van Schaik Royal Society Open Science 9 (5), 220011, 2022 | 4 | 2022 |
| Electrical signaling beyond neurons T Monk, N Dennler, N Ralph, S Rastogi, S Afshar, P Urbizagastegui, ... Neural Computation 36 (10), 1939-2029, 2024 | 1 | 2024 |
| Using optimality to predict photoreceptor distribution in the retina T Monk, C Harris International Conference on Neural Information Processing, 408-415, 2008 | 1 | 2008 |
| An Event based Prediction Suffix Tree E Andrew, T Monk, A van Schaik arXiv preprint arXiv:2310.14944, 2023 | | 2023 |
| Investigation of Auditory Nerve Model and Conventional Approaches in Noise-Robust Speaker Identification MA Islam, Y Xu, S Afshar, T Monk, A Van Schaik 2021 6th International Conference on Frontiers of Signal Processing (ICFSP …, 2021 | | 2021 |
| 2021 6th International Conference on Frontiers of Signal Processing (ICFSP 2021) KM San, A Glushkov, O Chernoyarov, V Litvinenko, Y Litvinenko, ... | | 2021 |
| Wald’s martingale and the Moran process T Monk, A van Schaik bioRxiv, 2020.02. 24.962407, 2020 | | 2020 |
| Bayesian inference from single spikes T Monk, M Paulin BMC Neuroscience 14 (Suppl 1), P278, 2013 | | 2013 |
| The Evolutionary Origin of Nervous Systems and Implications for Neural Computation: A Thesis Submitted for the Degree of Doctor of Philosophy at the University of Otago … T Monk University of Otago, 2013 | | 2013 |
