Google Scholar

Pre-prints

Burns T & Tang R (2022) Detecting danger in gridworlds using Gromov's Link Condition. arXiv, 2201.06274.

Papers

Burns T, Haga T & Fukai T (2022) Multiscale and extended retrieval of associative memory structures in a cortical model of local-global inhibition balance. eNeuro, 9(3):0023-22.2022.
Burns T & Rajan R (2022) Temporal activity patterns of layer II and IV rat barrel cortex neurons in healthy and injured conditions. Physiological Reports, 10(4):e15155.
Burns T (2021) Classic Hebbian learning endows feed-forward networks with sufficient adaptability in challenging reinforcement learning tasks. Journal of Neurophysiology, 125(6):2034–2037.
Burns T & Rajan R (2021) Sensing and processing whisker deflections in rodents. PeerJ, 9:e10730.
Burns T & Rajan R (2019) A mathematical approach to correlating objective spectro-temporal features of non-linguistic sounds with their subjective perceptions in humans. Frontiers in Neuroscience, 13:794.
Burns T & Rajan R (2015) Combining complexity measures of EEG data: multiplying measures reveal previously hidden information. F1000Research, 4:137.

Conference Papers

Burns T, Benureau FCY & Tani J (2018) A Bergson-Inspired Adaptive Time Constant for the Multiple Timescales Recurrent Neural Network Model. 28th Annual Conference of the Japanese Neural Network Society (Okinawa, Japan). [poster presentation, ~100 participants]

Conference Presentations

Burns T & Irwansyah (2022) Efficient, probabilistic analysis of combinatorial neural codes. CNS*2022 (Melbourne, Australia). [poster presentation, ~200 participants]
Burns T & Tang R (2022) Detecting danger in gridworlds using Gromov's Link Condition. International Symposium on Artificial Intelligence and Brain Science (Okinawa, Japan). [poster presentation, ~200 participants]
Burns T, Haga T & Fukai T (2022) A functional role for inhibitory diversity in associative memory. NEURO2022 (Okinawa, Japan). [oral presentation, ~2,000 participants]
Burns T, Haga T & Fukai T (2021) Multiscale and extended retrieval of associative memory structures in a cortical model of local-global inhibition balance. Neuromatch 4.0 (online). [oral presentation, ~900 participants]
Burns T & Tang R (2021) Simulating Pushdown Automata with Noisy Spiking Neural Networks. Spiking Neural networks as Universal Function Approximators (online). [poster presentation, ~100 participants]
Burns T & Fukai T (2020) Stability of spontaneous activity depends on synaptic delays in spiking network models. Systems & Computational Neuroscience Down Under (Brisbane, Australia). [poster presentation, ~60 participants]
Burns T, Allitt B, Alwis D & Rajan R (2017) Neuronal activity patterns in barrel cortex to simple and complex stimuli and the effects of traumatic brain injury. Students of Brain Research Symposium (Melbourne, Australia). [oral presentation, 179 participants]
Burns T, Mokri Y & Rajan R (2015) What factors determine the perceived complexity of commonplace sounds? 33rd Annual Meeting of the Australian Neuroscience Society (Melbourne, Australia). [oral presentation, 1112 participants]

Other

Burns T (2018) Dealing with the ethics of animal research as an ECR. Times Higher Education. Jul 31, 2018.
Balez R & Burns T (2018) How to build a scientific society’s international student body. Times Higher Education. Jun 20, 2018.
Burns T (2016) Three Tips for Building a Student-Led Student Research Network. PLOS Community Blog. Nov 29, 2016.