Optimizing Recurrent Spiking Neural Networks with Small Time Constants for Temporal Tasks

Yuan Zeng, Edward Jeffs, Terrence C. Stewart, Yevgeny Berdichevsky, Xiaochen Guo. Optimizing Recurrent Spiking Neural Networks with Small Time Constants for Temporal Tasks. In Thomas E. Potok, Catherine D. Schuman, Melika Payvand, Prasanna Date, Shruti Kulkarni, Yiran Chen 0001, Robinson E. Pino, Brad Aimone, Mutsumi Kimura, Gregory Cohen, David Whittaker, Gordon Hirsch Wilson, editors, ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022. ACM, 2022. [doi]

@inproceedings{ZengJSBG22,
  title = {Optimizing Recurrent Spiking Neural Networks with Small Time Constants for Temporal Tasks},
  author = {Yuan Zeng and Edward Jeffs and Terrence C. Stewart and Yevgeny Berdichevsky and Xiaochen Guo},
  year = {2022},
  doi = {10.1145/3546790.3546796},
  url = {https://doi.org/10.1145/3546790.3546796},
  researchr = {https://researchr.org/publication/ZengJSBG22},
  cites = {0},
  citedby = {0},
  booktitle = {ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022},
  editor = {Thomas E. Potok and Catherine D. Schuman and Melika Payvand and Prasanna Date and Shruti Kulkarni and Yiran Chen 0001 and Robinson E. Pino and Brad Aimone and Mutsumi Kimura and Gregory Cohen and David Whittaker and Gordon Hirsch Wilson},
  publisher = {ACM},
  isbn = {978-1-4503-9789-6},
}