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
Learning Interacting Theories from Data Read More »
Statistical temporal pattern extraction by neuronal architecture Sandra Nestler, Moritz Helias, and Matthieu Gilson Phys. Rev. Research 5, 033177 2023
Statistical temporal pattern extraction by neuronal architecture Read More »
Statistical physics, Bayesian inference and neural information processing Erin Grant, Sandra Nestler, Berfin Şimşek and Sara Solla arXiv:2309.17006v1 2023
Statistical physics, Bayesian inference and neural information processing Read More »
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
Path classification by stochastic linear recurrent neural networks Read More »
Unfolding recurrence by Green’s functions for optimized reservoir computing Sandra Nestler, Christian Keup, David Dahmen, Matthieu Gilson, Holger Rauhut and Moritz Helias Advances in Neural Information Processing Systems 33 (NeurIPS 2020) 2020
Unfolding recurrence by Green’s functions for optimized reservoir computing Read More »
