| Combining complexity measures of EEG data: multiplying measures reveal previously hidden information T Burns, R Rajan F1000Research 4 (137), 137, 2015 | 31 | 2015 |
| Simplicial Hopfield networks TF Burns, T Fukai The Eleventh International Conference on Learning Representations, 2023 | 13 | 2023 |
| A mathematical approach to correlating objective spectro-temporal features of non-linguistic sounds with their subjective perceptions in humans TF Burns, R Rajan Frontiers in Neuroscience 13, 794, 2019 | 12 | 2019 |
| Sensing and processing whisker deflections in rodents TF Burns, R Rajan PeerJ 9, e10730, 2021 | 5 | 2021 |
| Multiscale and extended retrieval of associative memory structures in a cortical model of local-global inhibition balance TF Burns, T Haga, T Fukai Eneuro 9 (3), 2022 | 2 | 2022 |
| Temporal activity patterns of layer II and IV rat barrel cortex neurons in healthy and injured conditions TF Burns, R Rajan Physiological Reports 10 (4), e15155, 2022 | 2 | 2022 |
| Classic Hebbian learning endows feed-forward networks with sufficient adaptability in challenging reinforcement learning tasks TF Burns Journal of Neurophysiology 125 (6), 2034-2037, 2021 | 2 | 2021 |
| Semantically-correlated memories in a dense associative model TF Burns arXiv preprint arXiv:2404.07123, 2024 | | 2024 |
| Epistemic virtues of harnessing rigorous machine learning systems in ethically sensitive domains TF Burns Journal of Medical Ethics 49 (8), 547-548, 2023 | | 2023 |
| Geometry and Topology in Memory and Navigation TF Burns OKINAWA INSTITUTE OF SCIENCE AND TECHNOLOGY, 2023 | | 2023 |
| Detecting danger in gridworlds using Gromov’s Link Condition TF Burns, R Tang Transactions on Machine Learning Research, 2023 | | 2023 |
| Does inhibitory (dys) function account for involuntary autobiographical memory and déjà vu experience? TF Burns Behavioral and Brain Sciences 46, e360, 2023 | | 2023 |
| Efficient, probabilistic analysis of combinatorial neural codes TF Burns, Irwansyah arXiv preprint arXiv:2210.10492, 2022 | | 2022 |
| A Bergson-Inspired Adaptive Time Constant for the Multiple Timescales Recurrent Neural Network Model TF Burns, FCY Benureau, J Tani The 28th Annual Conference of the Japanese Neural Network Society 28, 169-170, 2018 | | 2018 |
| The ethics of proposed euthanasia laws in Australia T Burns Thesis Commons, 2014 | | 2014 |
Ramesh RajanMonash UniversityVerified email at monash.edu
