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Neuronal architecture extracts statistical temporal patterns., , and . CoRR, (2023)Graph Neural Networks Do Not Always Oversmooth., , , and . CoRR, (2024)Critical feature learning in deep neural networks., , , , , and . ICML, OpenReview.net, (2024)How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime., , , , and . Frontiers Comput. Neurosci., (2013)Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework, , , , , , , , , and . 8 (1): 43--60 (March 2010)PMID: 20195795 PMCID: 2846392.Statistical field theory for neural networks, and . (2019)cite arxiv:1901.10416.Including Gap Junctions into Distributed Neuronal Network Simulations., , , , , , , , and . BrainComp, volume 10087 of Lecture Notes in Computer Science, page 43-57. Springer, (2015)A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations., , , , , , and . Frontiers Neuroinformatics, (2015)A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations., , , , and . Frontiers Neuroinformatics, (2010)Unfolding recurrence by Green's functions for optimized reservoir computing., , , , , and . NeurIPS, (2020)