8. Papers citing Norse

Norse is actively applied and cited in the literature. We are keeping track of the papers cited by Norse below. Please get in touch with us if we missed a paper. Contact details can be found in the page About Norse.

• Ding Chen, Peixi Peng, Tiejun Huang, and Yonghong Tian. Deep reinforcement learning with spiking q-learning. CoRR, 2022. URL: https://arxiv.org/abs/2201.09754, arXiv:2201.09754.

• Julien Dupeyroux. A toolbox for neuromorphic sensing in robotics. ArXiv, 2021.

• Rida El-Allami, Alberto Marchisio, Muhammad Shafique, and Ihsen Alouani. Securing deep spiking neural networks against adversarial attacks through inherent structural parameters. In Proceedings of the 24th Conference on Design, Automation and Test in Europe, DATE '21. 2021. URL: https://arxiv.org/abs/2012.05321.

• Mechislav M Pugavko, Oleg V Maslennikov, and Vladimir I Nekorkin. Multitask computation through dynamics in recurrent spiking neural networks. Scientific Reports, 13(1):3997, 2023.

• Xiaohe Xue, Ralf D. Wimmer, Michael M. Halassa, and Zhe Sage Chen. Spiking recurrent neural networks represent task-relevant neural sequences in rule-dependent computation. Cognitive Computation, Feb 2022. URL: https://doi.org/10.1007/s12559-022-09994-2, doi:10.1007/s12559-022-09994-2.