| Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes C Stöckl, W Maass Nature Machine Intelligence 3 (3), 230-238, 2021 | 81 | 2021 |
| One-shot learning with spiking neural networks F Scherr, C Stöckl, W Maass BioRxiv, 2020.06. 17.156513, 2020 | 13 | 2020 |
| Recognizing images with at most one spike per neuron C Stöckl, W Maass arXiv preprint arXiv:2001.01682, 2019 | 10 | 2019 |
| Classifying images with few spikes per neuron C Stöckl, W Maass arXiv preprint arXiv:2002.00860 72, 2020 | 9 | 2020 |
| Structure induces computational function in networks with diverse types of spiking neurons C Stöckl, D Lang, W Maass bioRxiv, 2021.05. 18.444689, 2021 | 5 | 2021 |
| Probabilistic skeletons endow brain-like neural networks with innate computing capabilities C Stöckl, D Lang, W Maass bioRxiv, 2021 | 4 | 2021 |
| Local prediction-learning enables neural networks to plan C Stoeckl, W Maass bioRxiv, 2022.10. 17.512572, 2022 | 1 | 2022 |
| Probabilistic skeletons endow brain-like neural C Stöckl, D Lang, W Maass | 1 | 2021 |
| Supplements for “One-shot learning with spiking neural networks” F Scherr, C Stöckl, W Maass | | |
Wolfgang MaassProfessor of Computer Science, Graz University of TechnologyBestätigte E-Mail-Adresse bei igi.tugraz.at
