| Current state and future directions for learning in biological recurrent neural networks: A perspective piece LY Prince, RH Eyono, E Boven, A Ghosh, J Pemberton, F Scherr, ... arXiv preprint arXiv:2105.05382, 2021 | 12* | 2021 |
| Sequential predictive learning is a unifying theory for hippocampal representation and replay D Levenstein, A Efremov, RH Eyono, A Peyrache, B Richards bioRxiv, 2024.04. 28.591528, 2024 | 2 | 2024 |
| AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family RH Eyono, FM Carlucci, PM Esperança, B Ru, P Torr arXiv preprint arXiv:2111.03555, 2021 | 2 | 2021 |
| MoDTI: Modular framework for evaluating inductive biases in DTI modeling RH Eyono, P Tossou, C Wognum, E Noutahi ICLR 2023-Machine Learning for Drug Discovery Workshop, 2023 | 1 | 2023 |
| Dimensionality and flexibility of learning in biological recurrent neural networks BA Richards, C Clopath, RP Costa, W Maass, LY Prince, A Ghosh, ... | 1 | 2020 |
