Publications
Learning Interacting Theories from Data
Claudia Merger, Alexandre René, Kirsten Fischer, Peter Bouss, Sandra Nestler, David Dahmen, Carsten Honerkamp, and Moritz Helias
Phys. Rev. X 13, 041033
2023
Statistical temporal pattern extraction by neuronal architecture
Sandra Nestler, Moritz Helias, and Matthieu Gilson
Phys. Rev. Research 5, 033177
2023
Statistical physics, Bayesian inference and neural information processing
Erin Grant, Sandra Nestler, Berfin Şimşek and Sara Solla
arXiv:2309.17006v1
2023
Path classification by stochastic linear recurrent neural networks
Youness Boutaib, Wiebke Bartolomaeus, Sandra Nestler and Holger Rauhut
Advances in Continuous and Discrete Models, Article number: 13
2022
Unfolding recurrence by Green’s functions for optimized reservoir computing
Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut and Moritz Helias