Author:
Niu Li-Ye,Wei Ying,Liu Yue,Long Jun-Yu,Liu Wen-Bo
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference51 articles.
1. Tavanaei, A., Maida, A.: Bio-inspired multi-layer spiking neural network extracts discriminative features from speech signals. In: International conference on neural information processing. Springer, pp. 899–908 (2017)
2. Stromatias, E., Neil, D., Pfeiffer, M., Galluppi, F., Furber, S.B., Liu, S.-C.: Robustness of spiking deep belief networks to noise and reduced bit precision of neuro-inspired hardware platforms. Front. Neurosci. 9, 222 (2015)
3. Kim, S., Park, S., Na, B., Yoon, S.: Spiking-yolo: spiking neural network for energy-efficient object detection. In: Proceedings of the AAAI conference on artificial intelligence, pp. 11 270–11 277 (2020)
4. Chen, R., Ma, H., Guo, P., Xie, S., Li, P., Wang, D.: Low latency spiking convnets with restricted output training and false spike inhibition. In: 2018 International joint conference on neural networks (IJCNN). IEEE, pp. 1–8 (2018)
5. Hu, J., Tang, H., Tan, K.C., Li, H., Shi, L.: A spike-timing-based integrated model for pattern recognition. Neural Comput. 25(2), 450–472 (2013)