Activity-Adaptive Architectures for Energy-Efficient Scalable Neural Recording Microsystems: A Review of Current and Future Directions

Activity-Adaptive Architectures for Energy-Efficient Scalable Neural Recording Microsystems: A Review of Current and Future Directions. Sayedi, M. & Kassiri, H. In 20th IEEE Interregional NEWCAS Conference, NEWCAS 2022, Quebec City, QC, Canada, June 19-22, 2022, pages 393–396, 2022. IEEE.

Paper doi bibtex

@inproceedings{DBLP:conf/newcas/SayediK22,
  author       = {Mina Sayedi and
                  Hossein Kassiri},
  title        = {Activity-Adaptive Architectures for Energy-Efficient Scalable Neural
                  Recording Microsystems: {A} Review of Current and Future Directions},
  booktitle    = {20th {IEEE} Interregional {NEWCAS} Conference, {NEWCAS} 2022, Quebec
                  City, QC, Canada, June 19-22, 2022},
  pages        = {393--396},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/NEWCAS52662.2022.9842182},
  doi          = {10.1109/NEWCAS52662.2022.9842182},
  timestamp    = {Thu, 11 Aug 2022 08:52:15 +0200},
  biburl       = {https://dblp.org/rec/conf/newcas/SayediK22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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