Scalable Construction of Spiking Neural Networks using up to thousands of GPUs | Paper Citation Record

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This paper cites arXiv, 2505–21185 (2025) https://doi.org/10.48550/arXiv.2505.21185.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs arXiv, 2505–21185 (2025) https://doi.org/10.48550/arXiv.2505.21185

Reference 1

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This paper cites Frontiers in Neuroinformatics 17(2023) https://doi.org/10.3389/fninf.2023.1157418.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Frontiers in Neuroinformatics 17(2023) https://doi.org/10.3389/fninf.2023.1157418

Reference 2

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This paper cites Journal of large-scale research facilities JLSRF9(1) (2024) https://doi.org/10.17815/jlsrf-8-186.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Journal of large-scale research facilities JLSRF9(1) (2024) https://doi.org/10.17815/jlsrf-8-186

Reference 3

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This paper cites Technical report, Knoxville, Tennessee (2009).

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Technical report, Knoxville, Tennessee (2009)

Reference 4

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This paper cites Nature Computational Science4(12), 890–898 (2024) https://doi.org/10.1038/s43588-024-00731-3.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Nature Computational Science4(12), 890–898 (2024) https://doi.org/10.1038/s43588-024-00731-3

Reference 5

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This paper cites IEEE Transactions on Parallel and Distributed Systems35(6), 1056–1073 (2024) https://doi.org/10.1109/TPDS.2024.3387720.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs IEEE Transactions on Parallel and Distributed Systems35(6), 1056–1073 (2024) https://doi.org/10.1109/TPDS.2024.3387720

Reference 6

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This paper cites Scientific Reports6(1) (2016) https://doi.org/10.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Scientific Reports6(1) (2016) https://doi.org/10

Reference 7

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This paper cites Nature Computational Science1(2), 136–142 (2021) https: //doi.org/10.1038/s43588-020-00022-7.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Nature Computational Science1(2), 136–142 (2021) https: //doi.org/10.1038/s43588-020-00022-7

Reference 8

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This paper cites Proceedings of the International Joint Confer- ence on Neural Networks (IJCNN), 1–8 (2015) https://doi.org/10.1109/IJCNN.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Proceedings of the International Joint Confer- ence on Neural Networks (IJCNN), 1–8 (2015) https://doi.org/10.1109/IJCNN

Reference 9

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This paper cites Liang, Y.-C.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Liang, Y.-C

Reference 10

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This paper cites Cambridge Uni- versity Press, ??? (2006).

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Cambridge Uni- versity Press, ??? (2006)

Reference 11

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This paper cites Frontiers in Neuroinformatics13, 63 (2019) https://doi.org/10.3389/ fninf.2019.00063.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Frontiers in Neuroinformatics13, 63 (2019) https://doi.org/10.3389/ fninf.2019.00063

Reference 12

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This paper cites Frontiers in Neuroinformatics16(2022) https://doi.org/10.3389/fninf.2022.884046.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Frontiers in Neuroinformatics16(2022) https://doi.org/10.3389/fninf.2022.884046

Reference 13

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This paper cites Frontiers in Neuroinformatics15(2022) https://doi.org/10.3389/ fninf.2021.785068.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Frontiers in Neuroinformatics15(2022) https://doi.org/10.3389/ fninf.2021.785068

Reference 14

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This paper cites Frontiers in Neuroinformatics16(2022) https://doi.org/10.3389/fninf.2022.883333.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Frontiers in Neuroinformatics16(2022) https://doi.org/10.3389/fninf.2022.883333

Reference 15

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This paper cites Scholarpedia 2(4), 1430 (2007) 26.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Scholarpedia 2(4), 1430 (2007) 26

Reference 16

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This paper cites http://www.openmp.org/mp-documents/spec30.pdf.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs http://www.openmp.org/mp-documents/spec30.pdf

Reference 17

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This paper cites Frontiers in Neuroinformatics8, 78 (2014) https://doi.org/10.3389/ fninf.2014.00078.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Frontiers in Neuroinformatics8, 78 (2014) https://doi.org/10.3389/ fninf.2014.00078

Reference 18

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This paper cites Frontiers in Neuroinformatics12(2018) https://doi.org/10.3389/fninf.2018.00002.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Frontiers in Neuroinformatics12(2018) https://doi.org/10.3389/fninf.2018.00002

Reference 19

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This paper cites PLOS Computational Biology14(10), 1006359 (2018) https://doi.org/10.1371/journal.pcbi.1006359.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs PLOS Computational Biology14(10), 1006359 (2018) https://doi.org/10.1371/journal.pcbi.1006359

Reference 20

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This paper cites Cerebral Cortex34(10), 409 (2024) https://doi.org/10.1093/cercor/ bhae409.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Cerebral Cortex34(10), 409 (2024) https://doi.org/10.1093/cercor/ bhae409

Reference 21

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This paper cites Cerebral Cortex34(10), 405 (2024) https://doi.org/10.1093/cercor/bhae405.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Cerebral Cortex34(10), 405 (2024) https://doi.org/10.1093/cercor/bhae405

Reference 22

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This paper cites Nature Computational Science3(3), 264–276 (2023) https://doi.org/10.1038/ s43588-023-00417-2.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Nature Computational Science3(3), 264–276 (2023) https://doi.org/10.1038/ s43588-023-00417-2

Reference 23

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This paper cites Nature637(8047), 801–812 (2025) https://doi.org/10.1038/s41586-024-08253-8.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Nature637(8047), 801–812 (2025) https://doi.org/10.1038/s41586-024-08253-8

Reference 24

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This paper cites Abraham, F.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Abraham, F

Reference 25

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This paper cites Frontiers in Computational Neuroscience15(2021) https://doi.org/10.3389/fncom.2021.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Frontiers in Computational Neuroscience15(2021) https://doi.org/10.3389/fncom.2021

Reference 26

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This paper cites Applied Sciences13(17), 9598 (2023) https://doi.org/10.3390/app13179598.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Applied Sciences13(17), 9598 (2023) https://doi.org/10.3390/app13179598

Reference 27

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This paper cites Hilfer fractional advection-diffusion equations with power-law initial condition; a Numerical study using variational iteration method.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Hilfer fractional advection-diffusion equations with power-law initial condition; a Numerical study using variational iteration method

Reference 28

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This paper cites Brain Structure and Function223(3), 1409–1435 (2017) https://doi.org/10.1007/s00429-017-1554-4.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Brain Structure and Function223(3), 1409–1435 (2017) https://doi.org/10.1007/s00429-017-1554-4

Reference 29

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This paper cites Journal of large-scale research facilities JLSRF 7(2021) https://doi.org/10.17815/jlsrf-7-179.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Journal of large-scale research facilities JLSRF 7(2021) https://doi.org/10.17815/jlsrf-7-179

Reference 30

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This paper cites Brunel, Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons, Journal of Computational Neuroscience, 8 (2000), pp.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Brunel, Dynamics of Sparsely Connected Networks of Excitatory and Inhibitory Spiking Neurons, Journal of Computational Neuroscience, 8 (2000), pp

Reference 31

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This paper cites Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Multi-Layered Safety for Legged Robots via Control Barrier Functions and Model Predictive Control

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Scalable Construction of Spiking Neural Networks using up to thousands of GPUs PLOS Biology20(3), 3001575 (2022) https://doi.org/10.1371/journal.pbio.3001575

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This paper cites PLOS Computational Biology18(9), 1010086 (2022) https://doi.org/10.1371/journal.pcbi.1010086.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs PLOS Computational Biology18(9), 1010086 (2022) https://doi.org/10.1371/journal.pcbi.1010086

Reference 34

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Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Unresolved cited work

Reference 35

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This paper cites Cerebral Cortex 24(3), 785–806 (2014) https://doi.org/10.1093/cercor/bhs358.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Cerebral Cortex 24(3), 785–806 (2014) https://doi.org/10.1093/cercor/bhs358

Reference 36

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Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Chari and L

Reference 37

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Scalable Construction of Spiking Neural Networks using up to thousands of GPUs John Wiley & Sons, Inc., USA (1990)

Reference 38

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Scalable Construction of Spiking Neural Networks using up to thousands of GPUs A tale of two mergers: constraints on kilonova detection in two short GRBs at z$\sim$0.5

Reference 39

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This paper cites Brain98(1), 81–90 (1975) https://doi.org/10.1093/ brain/98.1.81.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Brain98(1), 81–90 (1975) https://doi.org/10.1093/ brain/98.1.81

Reference 40

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This paper cites Overcoming catastrophic forgetting in neural networks.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Overcoming catastrophic forgetting in neural networks

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This paper cites Frontiers in Neuroscience15(2021) https://doi.org/10.3389/fnins.2021.757790.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Frontiers in Neuroscience15(2021) https://doi.org/10.3389/fnins.2021.757790

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This paper cites doi:10.21105/joss.03021.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs doi:10.21105/joss.03021

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This paper cites The ﬁrst passage probl em for a continuous Markov pro- cess.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs The ﬁrst passage probl em for a continuous Markov pro- cess

Reference 44

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Observation 325f4d0f-19cf-4f70-a3cc-28ec4a04ed52 · outbound

This paper cites Lamperti.

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Lamperti

Reference 45

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Observation 6a52f146-3a17-4ff6-aa24-abc34c322aac · outbound

This paper cites Chapman and Hall, London (1986).

Scalable Construction of Spiking Neural Networks using up to thousands of GPUs Chapman and Hall, London (1986)

Reference 46

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Observation b2569df2-1a1f-4d24-89cf-f3e48dd84197 · outbound

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Scalable Construction of Spiking Neural Networks using up to thousands of GPUs ! " " ! !

Reference 47

Resolution: malformed identifier; raw_fallback, observed 2026-05-21T18:04:18.058944Z

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