Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype.

Liu C, Bellec G, Vogginger B, Kappel D, Partzsch J, Neumärker F, Höppner S, Maass W, Furber SB, Legenstein R, Mayr CG

DOI: 10.3389/fnins.2018.00840
Published: 2018
Container: Frontiers in neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2018.00840,
  title = {Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype.},
  author = {Liu C and Bellec G and Vogginger B and Kappel D and Partzsch J and Neumärker F and Höppner S and Maass W and Furber SB and Legenstein R and Mayr CG},
  year = {2018},
  journal = {Frontiers in neuroscience},
  doi = {10.3389/fnins.2018.00840},
  url = {https://doi.org/10.3389/fnins.2018.00840}
}

RIS

TY  - JOUR
TI  - Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype.
AU  - Liu C
AU  - Bellec G
AU  - Vogginger B
AU  - Kappel D
AU  - Partzsch J
AU  - Neumärker F
AU  - Höppner S
AU  - Maass W
AU  - Furber SB
AU  - Legenstein R
AU  - Mayr CG
PY  - 2018
JO  - Frontiers in neuroscience
DO  - 10.3389/fnins.2018.00840
UR  - https://doi.org/10.3389/fnins.2018.00840
ER  -

APA

C, L., G, B., B, V., D, K., J, P., F, N., S, H., W, M., SB, F., R, L., & CG, M. (2018). Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2018.00840

Source records

pubmed · retrieved 2026-09-26T02:04:59.618Z