| Long short-term memory and learning-to-learn in networks of spiking neurons G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass Advances in Neural Information Processing Systems, 787-797, 2018 | 120 | 2018 |
| Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets G Bellec, F Scherr, E Hajek, D Salaj, R Legenstein, W Maass arXiv preprint arXiv:1901.09049, 2019 | 29 | 2019 |
| A solution to the learning dilemma for recurrent networks of spiking neurons G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ... bioRxiv, 738385, 2020 | 12 | 2020 |
| A solution to the learning dilemma for recurrent networks of spiking neurons. bioRxiv G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ... 00000, 738385, 2019 | 8 | 2019 |
| Advances in Neural Information Processing Systems G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass | 6 | 2018 |
| Spike-frequency adaptation provides a long short-term memory to networks of spiking neurons D Salaj, A Subramoney, C Kraisnikovic, G Bellec, R Legenstein, W Maass bioRxiv, 2020 | 2 | 2020 |
| Eligibility traces provide a data-inspired alternative to backpropagation through time G Bellec, F Scherr, E Hajek, D Salaj, A Subramoney, R Legenstein, ... | 2 | 2019 |
| Slow processes of neurons enable a biologically plausible approximation to policy gradient A Subramoney, G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, ... 33nd NeurIPS workshop, 2019 | | 2019 |
| Long short-term memory and learning-to-learn in networks of spiking neurons Download PDF G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass | | |
| Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets Download PDF G Bellec, F Scherr, E Hajek, D Salaj, R Legenstein, W Maass | | |
| A solution to the learning dilemma for recurrent G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ... | | |
| Supplementary materials for: A solution to the learning dilemma for recurrent networks of spiking neurons G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ... | | |
| Biologically inspired alternatives to backpropagation through time for learning in recurrent neural networks G Bellec, F Scherr, D Salaj, E Hajek, R Legenstein, W Maass | | |
| Supplementary information for: Long short-term memory and learning-to-learn in networks of spiking neurons G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass | | |
Guillaume BELLECEPFLVerified email at epfl.ch
