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Recurrence Resonance" in Three-Neuron Motifs., , , and . Frontiers Comput. Neurosci., (2019)Quantifying the separability of data classes in neural networks., , , , and . Neural Networks, (2021)Conceptual Cognitive Maps Formation with Neural Successor Networks and Word Embeddings., , , and . ICDL, page 391-395. IEEE, (2023)Neural Networks with Fixed Binary Random Projections Improve Accuracy in Classifying Noisy Data., , , and . Bildverarbeitung für die Medizin, page 211-216. Springer, (2021)Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract Concepts., , , and . CoRR, (2022)Sparsity through evolutionary pruning prevents neuronal networks from overfitting., , , and . CoRR, (2019)Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception., , , , , , , , , and . CoRR, (2022)Multi-Modal Cognitive Maps based on Neural Networks trained on Successor Representations., , , and . CoRR, (2024)Quantifying and maximizing the information flux in recurrent neural networks., , , , and . CoRR, (2023)Analysis of Structure and Dynamics in Three-Neuron Motifs., , , , and . Frontiers Comput. Neurosci., (2019)