APA (7th ed.) Citation

Li, S., Wang, N., Kang, X., Yu, C., & Ye, T. T. (2025). qLIF: Mitigating the memory and computation overhead to implement spiking convolutional neural networks. Neural Computing & Applications, 37(15), 9011. https://doi.org/10.1007/s00521-025-11045-4

Chicago Style (17th ed.) Citation

Li, Silong, Ningning Wang, Xinyu Kang, Chunlin Yu, and Terry Tao Ye. "QLIF: Mitigating the Memory and Computation Overhead to Implement Spiking Convolutional Neural Networks." Neural Computing & Applications 37, no. 15 (2025): 9011. https://doi.org/10.1007/s00521-025-11045-4.

MLA (9th ed.) Citation

Li, Silong, et al. "QLIF: Mitigating the Memory and Computation Overhead to Implement Spiking Convolutional Neural Networks." Neural Computing & Applications, vol. 37, no. 15, 2025, p. 9011, https://doi.org/10.1007/s00521-025-11045-4.