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Recurrence Resonance" in Three-Neuron Motifs., , , and . Frontiers Comput. Neurosci., (2019)Adaptive stochastic resonance based on output autocorrelations., , , and . CoRR, (2015)Quantifying the separability of data classes in neural networks., , , , and . Neural Networks, (2021)A Chemical Reaction Network to Generate Random, Power-Law-Distributed Time Intervals., , and . Artif. Life, (2017)Predictive Coding and Stochastic Resonance: Towards a Unified Theory of Auditory (Phantom) Perception., , , , , , , , , and . CoRR, (2022)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)Dynamics and Information Import in Recurrent Neural Networks., and . Frontiers Comput. Neurosci., (2022)How deep is deep enough? - Optimizing deep neural network architecture., , , , , and . CoRR, (2018)Quantifying and Maximizing the Information Flux in Recurrent Neural Networks., , , , and . Neural Comput., 36 (3): 351-384 (March 2024)