1. Maass, W.: Liquid state machines: motivation, theory and applications. World Sci. Rev. 189, 1–21 (2010)
2. Tanaka, G., et al.: Recent advances in physical reservoir computing: a review. Neural Netw. 115, 100–123 (2019)
3. Studies in Computational Intelligence;M Kiselev,2022
4. Huang, C., Resnik, A., Celikel, T., Endlitz, B.: Adaptive spike threshold enables robust and temporally precise neuronal encoding. PLoS Comput. Biol. 12(6), e1004984 (2016)
5. Bellec, G., Salaj, D., Subramoney, A., Legenstein, R., Maas, W.: Long short-term memory and learning-to-learn in networks of spiking neurons. In: Proceedings NIPS, Montréal, pp. 787–797 (2018)