Unfolding recurrence by Green's functions for optimized reservoir computing. - Sandra Nestler; Christian Keup; David Dahmen; Matthieu Gilson; Holger Rauhut; Moritz Helias (NeurIPS, 2020)

Path classification by stochastic linear recurrent neural networks. - Wiebke Bartolomaeus; Youness Boutaib; Sandra Nestler; Holger Rauhut (CoRR, 2021)

Neuronal architecture extracts statistical temporal patterns. - Sandra Nestler; Moritz Helias; Matthieu Gilson (CoRR, 2023)

A statistical perspective on learning of time series in neural networks. - Sandra Nestler (2024)