| Context-and output layer-dependent long-term ensemble plasticity in a sensory circuit Y Yamada, K Bhaukaurally, TJ Madarász, A Pouget, I Rodriguez, ... Neuron 93 (5), 1198-1212. e5, 2017 | 70 | 2017 |
| Evaluation of ambiguous associations in the amygdala by learning the structure of the environment TJ Madarasz, L Diaz-Mataix, O Akhand, EA Ycu, JE LeDoux, JP Johansen Nature neuroscience 19 (7), 965-972, 2016 | 30 | 2016 |
| Better transfer learning with inferred successor maps TJ Madarasz, TE Behrens Advances in Neural Information Processing Systems, 9029-9040, 2019 | 22 | 2019 |
| Long-tail recognition via compositional knowledge transfer S Parisot, PM Esperança, S McDonagh, TJ Madarasz, Y Yang, Z Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| LPI: Learned Positional Invariances for Transfer of Task Structure and Zero-shot Planning T Madarasz International Conference on Machine Learning 2022, Workshop on Responsible …, 2022 | | 2022 |
| Learning transferable task schemas by representing causal invariances TJ Madarasz, TE Behrens International Conference on Learning Representations (ICLR) 2020, Workshop …, 2020 | | 2020 |
| Evaluating contingencies by a dual system of learning the structure and the parameters of the environment. T Madarasz, JE LeDoux, J Johansen Proceedings of the 37th Annual Meeting of the Cognitive Science Society (CogSci), 2015 | | 2015 |
| Supplementary Information for’Better transfer learning with inferred successor maps’ TJ Madarasz, TE Behrens | | |
| Supplementary Material: Long-tail Recognition via Compositional Knowledge Transfer S Parisot, PM Esperança, S McDonagh, TJ Madarasz, Y Yang, Z Li | | |
Tim BehrensProfessor of Computational Neuroscience, University of Oxford. Honorary Prof, UCLVerified email at fmrib.ox.ac.uk
