Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications.

Sorbaro M, Liu Q, Bortone M, Sheik S

DOI: 10.3389/fnins.2020.00662
Published: 2020
Container: Frontiers in neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2020.00662,
  title = {Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications.},
  author = {Sorbaro M and Liu Q and Bortone M and Sheik S},
  year = {2020},
  journal = {Frontiers in neuroscience},
  doi = {10.3389/fnins.2020.00662},
  url = {https://doi.org/10.3389/fnins.2020.00662}
}

RIS

TY  - JOUR
TI  - Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications.
AU  - Sorbaro M
AU  - Liu Q
AU  - Bortone M
AU  - Sheik S
PY  - 2020
JO  - Frontiers in neuroscience
DO  - 10.3389/fnins.2020.00662
UR  - https://doi.org/10.3389/fnins.2020.00662
ER  -

APA

M, S., Q, L., M, B., & S, S. (2020). Optimizing the Energy Consumption of Spiking Neural Networks for Neuromorphic Applications.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2020.00662

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pubmed · retrieved 2026-09-25T10:07:33.423Z