| Eligibility traces and plasticity on behavioral time scales: experimental support of neohebbian three-factor learning rules W Gerstner, M Lehmann, V Liakoni, D Corneil, J Brea Frontiers in neural circuits 12, 53, 2018 | 292 | 2018 |
| Efficient model-based deep reinforcement learning with variational state tabulation D Corneil, W Gerstner, J Brea International Conference on Machine Learning, 1049-1058, 2018 | 70 | 2018 |
| Attractor network dynamics enable preplay and rapid path planning in maze–like environments DS Corneil, W Gerstner Advances in neural information processing systems 28, 2015 | 29 | 2015 |
| Real-time inference in a VLSI spiking neural network D Corneil, D Sonnleithner, E Neftci, E Chicca, M Cook, G Indiveri, ... 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 2425-2428, 2012 | 19 | 2012 |
| On masked language models for contextual link prediction A Brayne, M Wiatrak, D Corneil Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on …, 2022 | 5 | 2022 |
| Learning, inference, and replay of hidden state sequences in recurrent spiking neural networks DS Corneil, E Neftci, G Indiveri, M Pfeiffer COSYNE 2014, 2014 | 5 | 2014 |
| Advances in Neural Information Processing Systems DS Corneil, W Gerstner | 3 | 2015 |
| Function approximation with uncertainty propagation in a VLSI spiking neural network D Corneil, D Sonnleithner, E Neftci, E Chicca, M Cook, G Indiveri, ... The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012 | 3 | 2012 |
| Working memory facilitates reward-modulated Hebbian learning in recurrent neural networks R Pogodin, D Corneil, A Seeholzer, J Heng, W Gerstner arXiv preprint arXiv:1910.10559, 2019 | 1 | 2019 |
| Offline Reinforcement Learning with Simulated Tra ectories in Latent Space D Corneil, W Gerstner CCN 2017, 2017 | 1 | 2017 |
| Rapid path planning and preplay in maze {like environments using attractor networks DS Corneil, W Gerstner COSYNE 2015, 2015 | 1 | 2015 |
| Learning from triage annotations DL Neil, DS Corneil, VP Subbiah, R Hodos US Patent App. 18/491,988, 2024 | | 2024 |
| Retrieve to Explain: Evidence-driven Predictions with Language Models R Patel, A Brayne, R Hintzen, D Jaroslawicz, G Neculae, D Corneil arXiv preprint arXiv:2402.04068, 2024 | | 2024 |
| Graph pattern inference R Hodos, J Briody, D Aponte, DS Corneil, DP Smith US Patent App. 18/007,391, 2023 | | 2023 |
| Distributions over latent policies for hypothesizing in networks DL Neil, DS Corneil US Patent App. 18/193,722, 2023 | | 2023 |
| Model-based reinforcement learning and navigation in animals and machines DS Corneil EPFL, 2018 | | 2018 |
| LCN L Badel, MLLR Barry, S Becker, G Bellec, JM Brea, EW Bumbacher, ... | | |
