Achieving Optimal Accuracy and Robustness Through Tight Excitatory-Inhibitory Balance in Shallow Spiking Recurrent Neural Network.

Li S, Wang J, Zareen SS

DOI: 10.1142/s0129065726500176
Published: 2026 Jun
Container: International journal of neural systems
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1142/s0129065726500176,
  title = {Achieving Optimal Accuracy and Robustness Through Tight Excitatory-Inhibitory Balance in Shallow Spiking Recurrent Neural Network.},
  author = {Li S and Wang J and Zareen SS},
  year = {2026},
  journal = {International journal of neural systems},
  doi = {10.1142/s0129065726500176},
  url = {https://doi.org/10.1142/s0129065726500176}
}

RIS

TY  - JOUR
TI  - Achieving Optimal Accuracy and Robustness Through Tight Excitatory-Inhibitory Balance in Shallow Spiking Recurrent Neural Network.
AU  - Li S
AU  - Wang J
AU  - Zareen SS
PY  - 2026
JO  - International journal of neural systems
DO  - 10.1142/s0129065726500176
UR  - https://doi.org/10.1142/s0129065726500176
ER  -

APA

S, L., J, W., & SS, Z. (2026). Achieving Optimal Accuracy and Robustness Through Tight Excitatory-Inhibitory Balance in Shallow Spiking Recurrent Neural Network.. International journal of neural systems. https://doi.org/10.1142/s0129065726500176

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pubmed · retrieved 2026-09-26T00:34:55.033Z