1. Ahmad, N., Van Gerven, M.A., Ambrogioni, L.: Gait-prop: a biologically plausible learning rule derived from backpropagation of error. In: Advances in Neural Information Processing Systems vol. 33, pp. 10913–10923 (2020)
2. Andrew, A.M.: Spiking neuron models: single neurons, populations, plasticity. Kybernetes 32, 7/8 (2003)
3. Bartunov, S., Santoro, A., Richards, B., Marris, L., Hilton, G. E., Lillicrap, T.: Assessing the scalability of biologically-motivated deep learning algorithms and architectures. In: Advances in Neural Information Processing Systems, pp. 9390–9400 (2018)
4. Bienenstock, E.L., Cooper, L.N., Munro, P.W.: Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex. In: J. Neurosci. 2(1), 32–48 (1982)
5. Chavlis, S., Poirazi, P.: Drawing inspiration from biological dendrites to empower artificial neural networks. In: Curr. Opin. Neurobiol. 70, 1–10 (2021)