A time-resolved theory of information encoding in recurrent neural networks. - Rainer Engelken; Sven Goedeke (NeurIPS, 2022)

Input correlations impede suppression of chaos and learning in balanced rate networks. - Rainer Engelken; Alessandro Ingrosso; Ramin Khajeh; Sven Goedeke; L. F. Abbott (CoRR, 2022)

Input correlations impede suppression of chaos and learning in balanced firing-rate networks. - Rainer Engelken; Alessandro Ingrosso; Ramin Khajeh; Sven Goedeke; L. F. Abbott (PLoS Comput. Biol., 2022)

A generalized neural tangent kernel for surrogate gradient learning. - Luke Eilers; Raoul-Martin Memmesheimer; Sven Goedeke (NeurIPS, 2024)