A 16-Channel Fully Configurable Neural SoC With 1.52 $\mu$W/Ch Signal Acquisition, 2.79 $\mu$W/Ch Real-Time Spike Classifier, and 1.79 TOPS/W Deep Neural Network Accelerator in 22 nm FDSOI

Seyed Mohammad Ali Zeinolabedin, Franz Marcus Schüffny, Richard George 0001, Florian Kelber, Heiner Bauer, Stefan Scholze, Stefan Hänzsche, Marco Stolba, Andreas Dixius, Georg Ellguth, Dennis Walter, Sebastian Höppner, Christian Mayr 0001. A 16-Channel Fully Configurable Neural SoC With 1.52 $\mu$W/Ch Signal Acquisition, 2.79 $\mu$W/Ch Real-Time Spike Classifier, and 1.79 TOPS/W Deep Neural Network Accelerator in 22 nm FDSOI. IEEE Trans. Biomed. Circuits and Systems, 16(1):94-107, 2022. [doi]

@article{ZeinolabedinSGK22,
  title = {A 16-Channel Fully Configurable Neural SoC With 1.52 $\mu$W/Ch Signal Acquisition, 2.79 $\mu$W/Ch Real-Time Spike Classifier, and 1.79 TOPS/W Deep Neural Network Accelerator in 22 nm FDSOI},
  author = {Seyed Mohammad Ali Zeinolabedin and Franz Marcus Schüffny and Richard George 0001 and Florian Kelber and Heiner Bauer and Stefan Scholze and Stefan Hänzsche and Marco Stolba and Andreas Dixius and Georg Ellguth and Dennis Walter and Sebastian Höppner and Christian Mayr 0001},
  year = {2022},
  doi = {10.1109/TBCAS.2022.3142987},
  url = {https://doi.org/10.1109/TBCAS.2022.3142987},
  researchr = {https://researchr.org/publication/ZeinolabedinSGK22},
  cites = {0},
  citedby = {0},
  journal = {IEEE Trans. Biomed. Circuits and Systems},
  volume = {16},
  number = {1},
  pages = {94-107},
}