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)

Will We Ever Have Conscious Machines? - Patrick Krauss; Andreas Maier 001 (Frontiers Comput. Neurosci., 2020)

Sparsity through evolutionary pruning prevents neuronal networks from overfitting. - Richard C. Gerum; André Erpenbeck; Patrick Krauss; Achim Schilling (Neural Networks, 2020)

Neural Networks with Fixed Binary Random Projections Improve Accuracy in Classifying Noisy Data. - Zijin Yang; Achim Schilling; Andreas Maier 001; Patrick Krauss (Bildverarbeitung für die Medizin, 2021)

Known Operator Learning and Hybrid Machine Learning in Medical Imaging - A Review of the Past, the Present, and the Future. - Andreas Maier 001; Harald Köstler; Marco Heisig; Patrick Krauss; Seung Hee Yang (CoRR, 2021)

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)

Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Concepts. - Paul Stoewer; Achim Schilling; Andreas K. Maier; Patrick Krauss (CoRR, 2022)

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

Conceptual Cognitive Maps Formation with Neural Successor Networks and Word Embeddings. - Paul Stoewer; Achim Schilling; Andreas K. Maier; Patrick Krauss (ICDL, 2023)

Word class representations spontaneously emerge in a deep neural network trained on next word prediction. - Kishore Surendra; Achim Schilling; Paul Stoewer; Andreas Maier 001; Patrick Krauss (ICMLA, 2023)

Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology. - Richard Gerum; André Erpenbeck; Patrick Krauss; Achim Schilling (IJCNN, 2023)

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

Methodological Considerations in the Analysis of Acoustically Evoked Neural Signals: A Comparative Study of Active EEG, Passive EEG and MEG. - Nikola Kölbl; Konstantin Tziridis; Patrick Krauss; Achim Schilling (EMBC, 2024)

Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations. - Paul Stoewer; Achim Schilling; Andreas K. Maier; Patrick Krauss (CoRR, 2024)

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)

Data-driven Modeling in Metrology - A Short Introduction, Current Developments and Future Perspectives. - Linda-Sophie Schneider; Patrick Krauss; Nadine Schiering; Christopher Syben; Richard Schielein; Andreas Maier 001 (CoRR, 2024)

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

Probing for Consciousness in Machines. - Mathis Immertreu; Achim Schilling; Andreas Maier 001; Patrick Krauss (CoRR, 2024)

Analysis and Visualization of Linguistic Structures in Large Language Models: Neural Representations of Verb-Particle Constructions in BERT. - Hassane Kissane; Achim Schilling; 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)

The Early Subcortical Response at the Fundamental Frequency of Speech Is Temporally Separated from Later Cortical Contributions. - Alina Schüller; Achim Schilling; Patrick Krauss; Tobias Reichenbach (J. Cogn. Neurosci., 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)

Analysis of argument structure constructions in a deep recurrent language model. - Pegah Ramezani; Achim Schilling; Patrick Krauss (Frontiers Comput. Neurosci., 2025)

Analysis of argument structure constructions in the large language model BERT. - Pegah Ramezani; Achim Schilling; Patrick Krauss (Frontiers Artif. Intell., 2025)

Multi-modal cognitive maps for language and vision based on neural successor representations. - Paul Stoewer; Achim Schilling; Pegah Ramezani; Hassane Kissane; Andreas K. Maier; Patrick Krauss (Neurocomputing, 2025)

Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT. - Awritrojit Banerjee; Achim Schilling; Patrick Krauss (CoRR, 2025)

Refusal Behavior in Large Language Models: A Nonlinear Perspective. - Fabian Hildebrandt; Andreas K. Maier; Patrick Krauss; Achim Schilling (CoRR, 2025)

Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions. - Patrick Krauss; Achim Schilling (CoRR, 2025)

Probing Internal Representations of Multi-Word Verbs in Large Language Models. - Hassane Kissane; Achim Schilling; Patrick Krauss (CoRR, 2025)