Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds

Author:

Xie Zaipeng,Liu Ziang,Chen Peng,Zhang Jianan

Publisher

Springer Nature Singapore

Reference34 articles.

1. Abbott, L.F.: Lapicque’s introduction of the integrate-and-fire model neuron (1907). Brain Res. Bull. 50(5–6), 303–304 (1999)

2. Chen, W., Gong, X., Wang, Z.: Neural architecture search on ImageNet in four GPU hours: a theoretically inspired perspective. In: International Conference on Learning Representations (2021)

3. Deng, S., Li, Y., Zhang, S., Gu, S.: Temporal efficient training of spiking neural network via gradient re-weighting. In: International Conference on Learning Representations (2022)

4. Dong, X., Yang, Y.: NAS-BENCH-201: extending the scope of reproducible neural architecture search. In: 8th International Conference on Learning Representations, (ICLR), Addis Ababa, Ethiopia, 26–30 April 2020 (2020)

5. Fang, W., Chen, Y., Ding, J., Chen, D., Yu, Z., et al.: SpikingJelly (2020). https://github.com/fangwei123456/spikingjelly. Accessed 20 June 2023

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