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Bio-inspired, task-free continual learning through activity regularization., , , and . Biol. Cybern., 117 (4): 345-361 (October 2023)Tailoring Artificial Neural Networks for Optimal Learning., , and . CoRR, (2017)Minimizing costs of communication with random constant weight codes.. CoRR, (2021)Learning cortical hierarchies with temporal Hebbian updates., , , and . Frontiers Comput. Neurosci., (February 2023)Structure, Dynamics and Self-Organization in Recurrent Neural Networks: From Machine Learning to Theoretical Neuroscience.. Leipzig University, Germany, (2020)Bio-Inspired, Task-Free Continual Learning through Activity Regularization., , , and . CoRR, (2022)Eigenvalues of Random Signed Graphs with Cycles: A Graph-Centered View of the Method of Moments with Practical Applications.. COMPLEX NETWORKS, volume 1016 of Studies in Computational Intelligence, page 390-400. Springer, (2021)Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel., , and . NeurIPS, (2022)Training Delays in Spiking Neural Networks., and . ICANN (1), volume 11727 of Lecture Notes in Computer Science, page 713-717. Springer, (2019)Spiking time-dependent plasticity leads to efficient coding of predictions., , and . Biol. Cybern., 114 (1): 43-61 (2020)