Adaptive stochastic resonance based on output autocorrelations. - Patrick Krauss; Claus Metzner; Konstantin Tziridis; Holger Schulze (CoRR, 2015)

A Chemical Reaction Network to Generate Random, Power-Law-Distributed Time Intervals. - Patrick Krauss; Holger Schulze; Claus Metzner (Artif. Life, 2017)

How deep is deep enough? - Optimizing deep neural network architecture. - Achim Schilling; Jonas Rietsch; Richard Gerum; Holger Schulze; Claus Metzner; Patrick Krauss (CoRR, 2018)

Recurrence Resonance" in Three-Neuron Motifs. - Patrick Krauss; Karin Prebeck; Achim Schilling; Claus Metzner (Frontiers Comput. Neurosci., 2019)

Analysis of Structure and Dynamics in Three-Neuron Motifs. - Patrick Krauss; Alexandra Zankl; Achim Schilling; Holger Schulze; Claus Metzner (Frontiers Comput. Neurosci., 2019)

Quantifying the separability of data classes in neural networks. - Achim Schilling; Andreas Maier 001; Richard Gerum; Claus Metzner; Patrick Krauss (Neural Networks, 2021)

Neural Network based Successor Representations of Space and Language. - Paul Stoewer; Christian Schlieker; Achim Schilling; Claus Metzner; Andreas K. Maier; Patrick Krauss (CoRR, 2022)

Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception. - Achim Schilling; William Sedley; Richard Gerum; Claus Metzner; Konstantin Tziridis; Andreas K. Maier; Holger Schulze; Fan-Gang Zeng; Karl J. Friston; Patrick Krauss (CoRR, 2022)

Classification at the Accuracy Limit - Facing the Problem of Data Ambiguity. - Claus Metzner; Achim Schilling; Maximilian Traxdorf; Konstantin Tziridis; Holger Schulze; Patrick Krauss (CoRR, 2022)

Dynamics and Information Import in Recurrent Neural Networks. - Claus Metzner; Patrick Krauss (Frontiers Comput. Neurosci., 2022)

Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD). - Claus Metzner; Achim Schilling; Patrick Krauss (CoRR, 2023)

Analyzing Narrative Processing in Large Language Models (LLMs): Using GPT4 to test BERT. - Patrick Krauss; Jannik Hösch; Claus Metzner; Andreas K. Maier; Peter Uhrig; Achim Schilling (CoRR, 2024)

Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing. - Claus Metzner; Achim Schilling; Andreas K. Maier; Patrick Krauss (CoRR, 2024)

Deep learning based decoding of single local field potential events. - Achim Schilling; Richard Gerum; Claudia Boehm; Jwan Rasheed; Claus Metzner; Andreas Maier 001; Caroline Reindl; Hajo M. Hamer; Patrick Krauss (NeuroImage, 2024)

Quantifying and Maximizing the Information Flux in Recurrent Neural Networks. - Claus Metzner; Marius E. Yamakou; Dennis Voelkl; Achim Schilling; Patrick Krauss (Neural Comput., 2024)