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Christoph Stöckl
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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
642021
One-shot learning with spiking neural networks
F Scherr, C Stöckl, W Maass
BioRxiv, 2020.06. 17.156513, 2020
112020
Classifying images with few spikes per neuron
C Stöckl, W Maass
arXiv preprint arXiv:2002.00860 72, 2020
92020
Recognizing images with at most one spike per neuron
C Stöckl, W Maass
arXiv preprint arXiv:2001.01682, 2019
82019
Probabilistic skeletons endow brain-like neural networks with innate computing capabilities
C Stöckl, D Lang, W Maass
bioRxiv, 2021
42021
Structure induces computational function in networks with diverse types of spiking neurons
C Stöckl, D Lang, W Maass
bioRxiv, 2021.05. 18.444689, 2021
22021
Probabilistic skeletons endow brain-like neural
C Stöckl, D Lang, W Maass
12021
Local prediction-learning enables neural networks to plan
C Stoeckl, W Maass
bioRxiv, 2022.10. 17.512572, 2022
2022
Supplements for “One-shot learning with spiking neural networks”
F Scherr, C Stöckl, W Maass
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