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Modular Supercomputing for Neuroscience., , , , and . BrainComp, volume 12339 of Lecture Notes in Computer Science, page 63-80. Springer, (2019)A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations., , , , , , , , , and 2 other author(s). Frontiers Neuroinformatics, (2022)A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations., , , , and . Frontiers Neuroinformatics, (2010)Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers., , , , , , , and . Frontiers Neuroinformatics, (2018)Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers., , , , , and . CoRR, (2021)Simulation technology for plastic neuronal networks on high-performance computers. University of Freiburg, Germany, (2015)base-search.net (ftunivfreiburg:oai:freidok.uni-freiburg.de:10419).A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations., , , , , , and . Frontiers Neuroinformatics, (2015)Meeting the Memory Challenges of Brain-Scale Network Simulation., , , , , and . Frontiers Neuroinformatics, (2011)Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks., , and . Frontiers Comput. Neurosci., (2010)Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density., , , , , , , , , and 2 other author(s). CoRR, (2022)