1. Amir, A., et al.: A low power, fully event-based gesture recognition system. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7243–7252 (2017)
2. Antic, S.D., Zhou, W.L., Moore, A.R., Short, S.M., Ikonomu, K.D.: The decade of the dendritic NMDA spike. J. Neurosci. Res. 88(14), 2991–3001 (2010)
3. Asgari, H., Maybodi, B.M.N., Payvand, M., Azghadi, M.R.: Low-energy and fast spiking neural network for context-dependent learning on FPGA. IEEE Trans. Circuits Syst. II Express Briefs 67(11), 2697–2701 (2020)
4. Bellec, G., Salaj, D., Subramoney, A., Legenstein, R., Maass, W.: Long short-term memory and learning-to-learn in networks of spiking neurons. In: Advances in Neural Information Processing Systems, vol. 31 (2018)
5. Beniaguev, D., Segev, I., London, M.: Single cortical neurons as deep artificial neural networks. Neuron 109(17), 2727–2739 (2021)