Deep Neural Network Feasibility Using Analog Spiking Neurons

Thomas Soupizet, Zalfa Jouni, Joao Frischenbruder Sulzbach, Aziz Benlarbi-Delaï, Pietro M. Ferreira. Deep Neural Network Feasibility Using Analog Spiking Neurons. In 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2022, Porto Alegre, Brazil, August 22-26, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{SoupizetJSBF22,
  title = {Deep Neural Network Feasibility Using Analog Spiking Neurons},
  author = {Thomas Soupizet and Zalfa Jouni and Joao Frischenbruder Sulzbach and Aziz Benlarbi-Delaï and Pietro M. Ferreira},
  year = {2022},
  doi = {10.1109/SBCCI55532.2022.9893216},
  url = {https://doi.org/10.1109/SBCCI55532.2022.9893216},
  researchr = {https://researchr.org/publication/SoupizetJSBF22},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2022, Porto Alegre, Brazil, August 22-26, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8128-1},
}