Dynamic Action Inference with Recurrent Spiking Neural Networks

Manuel Traub, Martin V. Butz, Robert Legenstein, Sebastian Otte. Dynamic Action Inference with Recurrent Spiking Neural Networks. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V. Volume 12895 of Lecture Notes in Computer Science, pages 233-244, Springer, 2021. [doi]

@inproceedings{TraubBLO21,
  title = {Dynamic Action Inference with Recurrent Spiking Neural Networks},
  author = {Manuel Traub and Martin V. Butz and Robert Legenstein and Sebastian Otte},
  year = {2021},
  doi = {10.1007/978-3-030-86383-8_19},
  url = {https://doi.org/10.1007/978-3-030-86383-8_19},
  researchr = {https://researchr.org/publication/TraubBLO21},
  cites = {0},
  citedby = {0},
  pages = {233-244},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V},
  editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
  volume = {12895},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86383-8},
}