A scalable implementation of the recursive least-squares algorithm for training spiking neural networks

Arthur J. Benjamin, Christopher M. Kim, Susu Chen, Stephan Preibisch, Ran Darshan. A scalable implementation of the recursive least-squares algorithm for training spiking neural networks. Front. Neuroinform., 17, March 2023. [doi]

@article{BenjaminKCPD23,
  title = {A scalable implementation of the recursive least-squares algorithm for training spiking neural networks},
  author = {Arthur J. Benjamin and Christopher M. Kim and Susu Chen and Stephan Preibisch and Ran Darshan},
  year = {2023},
  month = {March},
  doi = {10.3389/fninf.2023.1099510},
  url = {https://doi.org/10.3389/fninf.2023.1099510},
  researchr = {https://researchr.org/publication/BenjaminKCPD23},
  cites = {0},
  citedby = {0},
  journal = {Front. Neuroinform.},
  volume = {17},
}