Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks

Murphy Berzish, Chris Eliasmith, Bryan Tripp. Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks. In Alessandro E. P. Villa, Paolo Masulli, Antonio Javier Pons Rivero, editors, Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I. Volume 9886 of Lecture Notes in Computer Science, pages 349-356, Springer, 2016. [doi]

@inproceedings{BerzishET16,
  title = {Real-Time FPGA Simulation of Surrogate Models of Large Spiking Networks},
  author = {Murphy Berzish and Chris Eliasmith and Bryan Tripp},
  year = {2016},
  doi = {10.1007/978-3-319-44778-0_41},
  url = {http://dx.doi.org/10.1007/978-3-319-44778-0_41},
  researchr = {https://researchr.org/publication/BerzishET16},
  cites = {0},
  citedby = {0},
  pages = {349-356},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2016 - 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I},
  editor = {Alessandro E. P. Villa and Paolo Masulli and Antonio Javier Pons Rivero},
  volume = {9886},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-44777-3},
}