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 | 119 | 2021 |
One-shot learning with spiking neural networks F Scherr, C Stöckl, W Maass BioRxiv, 2020.06. 17.156513, 2020 | 19 | 2020 |
Recognizing images with at most one spike per neuron C Stöckl, W Maass arXiv preprint arXiv:2001.01682, 2019 | 12 | 2019 |
Classifying images with few spikes per neuron C Stöckl, W Maass arXiv preprint arXiv:2002.00860 72, 2020 | 11 | 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 | 6 | 2021 |
Probabilistic skeletons endow brain-like neural networks with innate computing capabilities C Stöckl, D Lang, W Maass bioRxiv, 2021 | 5 | 2021 |
Local prediction-learning in high-dimensional spaces enables neural networks to plan C Stöckl, Y Yang, W Maass Nature Communications 15 (1), 2344, 2024 | 1 | 2024 |
Probabilistic skeletons endow brain-like neural C Stöckl, D Lang, W Maass | 1 | 2021 |
DIGICOPRO: Systemische Digitainability bei Betonierprozessen: Polysensorale Systeme zur ökonomischen und ökologischen Optimierung der Planung, Steuerung und Dokumentation C Hofstadler, R Stöckl, C Stöckl Agile Digitalisierung im Baubetrieb: Innovative Wege zur Transformation und …, 2023 | | 2023 |
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