A configurable streaming spiking neural network accelerator with decoupled pixel–level and output–channel parallelism for automatic modulation classification

Kuilian Yang, Ahmed M. Eltawil, Khaled Nabil Salama

Open source

DOI: 10.3389/fnins.2026.1875437
Published: 2026-07-08
Container: Frontiers in Neuroscience
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2026.1875437,
  title = {A configurable streaming spiking neural network accelerator with decoupled pixel–level and output–channel parallelism for automatic modulation classification},
  author = {Kuilian Yang and Ahmed M. Eltawil and Khaled Nabil Salama},
  year = {2026},
  journal = {Frontiers in Neuroscience},
  doi = {10.3389/fnins.2026.1875437},
  url = {https://doi.org/10.3389/fnins.2026.1875437}
}

RIS

TY  - JOUR
TI  - A configurable streaming spiking neural network accelerator with decoupled pixel–level and output–channel parallelism for automatic modulation classification
AU  - Kuilian Yang
AU  - Ahmed M. Eltawil
AU  - Khaled Nabil Salama
PY  - 2026
JO  - Frontiers in Neuroscience
DO  - 10.3389/fnins.2026.1875437
UR  - https://doi.org/10.3389/fnins.2026.1875437
ER  -

APA

Yang, K., Eltawil, A. M., & Salama, K. N. (2026). A configurable streaming spiking neural network accelerator with decoupled pixel–level and output–channel parallelism for automatic modulation classification. Frontiers in Neuroscience. https://doi.org/10.3389/fnins.2026.1875437

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crossref · retrieved 2026-09-25T19:08:32.323Z