Patrick Krauss
Orcid: 0000-0002-6611-7733
According to our database1,
Patrick Krauss authored at least 39 papers
between 2015 and 2026.
Collaborative distances:
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Bibliography
2026
Convergent Representations of Linguistic Constructions in Human and Artificial Neural Systems.
CoRR, March, 2026
Mind in the Machine? Cross-Disciplinary Perceptions of Consciousness in Artificial Intelligence.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
2025
Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT.
CoRR, January, 2025
Neural Comput., 2025
Multi-modal cognitive maps for language and vision based on neural successor representations.
Neurocomputing, 2025
Frontiers Artif. Intell., 2025
Frontiers Comput. Neurosci., 2025
Proceedings of the 21st Workshop on Multiword Expressions, 2025
Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions.
Proceedings of the International Joint Conference on Neural Networks, 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
2024
Neural Comput., March, 2024
The Early Subcortical Response at the Fundamental Frequency of Speech Is Temporally Separated from Later Cortical Contributions.
J. Cogn. Neurosci., March, 2024
NeuroImage, 2024
Analysis and Visualization of Linguistic Structures in Large Language Models: Neural Representations of Verb-Particle Constructions in BERT.
CoRR, 2024
Data-driven Modeling in Metrology - A Short Introduction, Current Developments and Future Perspectives.
CoRR, 2024
Analyzing Narrative Processing in Large Language Models (LLMs): Using GPT4 to test BERT.
CoRR, 2024
Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations.
CoRR, 2024
Methodological Considerations in the Analysis of Acoustically Evoked Neural Signals: A Comparative Study of Active EEG, Passive EEG and MEG.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD).
CoRR, 2023
Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology.
Proceedings of the International Joint Conference on Neural Networks, 2023
Word class representations spontaneously emerge in a deep neural network trained on next word prediction.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Conceptual Cognitive Maps Formation with Neural Successor Networks and Word Embeddings.
Proceedings of the IEEE International Conference on Development and Learning, 2023
2022
Frontiers Comput. Neurosci., 2022
Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Concepts.
CoRR, 2022
CoRR, 2022
Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception.
CoRR, 2022
2021
Neural Networks, 2021
Known Operator Learning and Hybrid Machine Learning in Medical Imaging - A Review of the Past, the Present, and the Future.
CoRR, 2021
Neural Networks with Fixed Binary Random Projections Improve Accuracy in Classifying Noisy Data.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Neural Networks, 2020
2019
Frontiers Comput. Neurosci., 2019
2018
2017
A Chemical Reaction Network to Generate Random, Power-Law-Distributed Time Intervals.
Artif. Life, 2017
2015