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ORCIDClaus Metzner
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2020 – today
- 2024
[j7]Claus Metzner, Marius E. Yamakou, Dennis Voelkl
, Achim Schilling, Patrick Krauss:
Quantifying and Maximizing the Information Flux in Recurrent Neural Networks. Neural Comput. 36(3): 351-384 (2024)- [j6]Achim Schilling, Richard Gerum, Claudia Boehm, Jwan Rasheed, Claus Metzner, Andreas Maier, Caroline Reindl, Hajo M. Hamer, Patrick Krauss:
Deep learning based decoding of single local field potential events. NeuroImage 297: 120696 (2024) - [i9]Patrick Krauss, Jannik Hösch, Claus Metzner, Andreas K. Maier, Peter Uhrig, Achim Schilling:
Analyzing Narrative Processing in Large Language Models (LLMs): Using GPT4 to test BERT. CoRR abs/2405.02024 (2024) - [i8]Claus Metzner, Achim Schilling, Andreas K. Maier, Patrick Krauss:
Nonlinear Neural Dynamics and Classification Accuracy in Reservoir Computing. CoRR abs/2411.10047 (2024) - 2023
- [i7]Claus Metzner, Marius E. Yamakou, Dennis Voelkl, Achim Schilling, Patrick Krauss:
Quantifying and maximizing the information flux in recurrent neural networks. CoRR abs/2301.12892 (2023) - [i6]Claus Metzner, Achim Schilling, Patrick Krauss:
Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD). CoRR abs/2311.16621 (2023) - 2022
- [j5]Claus Metzner, Patrick Krauss:
Dynamics and Information Import in Recurrent Neural Networks. Frontiers Comput. Neurosci. 16: 876315 (2022) - [i5]Paul Stoewer, Christian Schlieker, Achim Schilling, Claus Metzner, Andreas K. Maier, Patrick Krauss:
Neural Network based Successor Representations of Space and Language. CoRR abs/2202.11190 (2022) - [i4]Achim Schilling, William Sedley, Richard Gerum, Claus Metzner, Konstantin Tziridis, Andreas K. Maier, Holger Schulze, Fan-Gang Zeng, Karl J. Friston, Patrick Krauss:
Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception. CoRR abs/2204.03354 (2022) - [i3]Claus Metzner, Achim Schilling, Maximilian Traxdorf, Konstantin Tziridis, Holger Schulze, Patrick Krauss:
Classification at the Accuracy Limit - Facing the Problem of Data Ambiguity. CoRR abs/2206.01922 (2022) - 2021
- [j4]Achim Schilling, Andreas Maier, Richard Gerum, Claus Metzner, Patrick Krauss:
Quantifying the separability of data classes in neural networks. Neural Networks 139: 278-293 (2021)
2010 – 2019
- 2019
- [j3]Patrick Krauss, Alexandra Zankl, Achim Schilling, Holger Schulze, Claus Metzner:
Analysis of Structure and Dynamics in Three-Neuron Motifs. Frontiers Comput. Neurosci. 13: 5 (2019) - [j2]Patrick Krauss, Karin Prebeck, Achim Schilling, Claus Metzner:
Recurrence Resonance" in Three-Neuron Motifs. Frontiers Comput. Neurosci. 13: 64 (2019) - 2018
- [i2]Achim Schilling, Jonas Rietsch, Richard Gerum, Holger Schulze, Claus Metzner, Patrick Krauss:
How deep is deep enough? - Optimizing deep neural network architecture. CoRR abs/1811.01753 (2018) - 2017
- [j1]Patrick Krauss, Holger Schulze, Claus Metzner:
A Chemical Reaction Network to Generate Random, Power-Law-Distributed Time Intervals. Artif. Life 23(4) (2017) - 2015
- [i1]Patrick Krauss, Claus Metzner, Konstantin Tziridis, Holger Schulze:
Adaptive stochastic resonance based on output autocorrelations. CoRR abs/1504.05032 (2015)
Coauthor Index
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