Markus Diesmann

RIKEN Brain Science Institute, Wakō-shi, Saitama-ken, Japan 
Computational Neuroscience
"Markus Diesmann"
Mean distance: 14.77 (cluster 17)
Cross-listing: Computational Biology Tree

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Senk J, Kriener B, Djurfeldt M, et al. (2022) Connectivity concepts in neuronal network modeling. Plos Computational Biology. 18: e1010086
Albers J, Pronold J, Kurth AC, et al. (2022) A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations. Frontiers in Neuroinformatics. 16: 837549
Pronold J, Jordan J, Wylie BJN, et al. (2022) Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring. Frontiers in Neuroinformatics. 15: 785068
Heittmann A, Psychou G, Trensch G, et al. (2022) Simulating the Cortical Microcircuit Significantly Faster Than Real Time on the IBM INC-3000 Neural Supercomputer. Frontiers in Neuroscience. 15: 728460
Dahmen D, Layer M, Deutz L, et al. (2022) Global organization of neuronal activity only requires unstructured local connectivity. Elife. 11
Dasbach S, Tetzlaff T, Diesmann M, et al. (2021) Dynamical Characteristics of Recurrent Neuronal Networks Are Robust Against Low Synaptic Weight Resolution. Frontiers in Neuroscience. 15: 757790
Spreizer S, Senk J, Rotter S, et al. (2021) NEST Desktop, an Educational Application for Neuroscience. Eneuro. 8
Stapmanns J, Hahne J, Helias M, et al. (2021) Event-Based Update of Synapses in Voltage-Based Learning Rules. Frontiers in Neuroinformatics. 15: 609147
Jordan J, Helias M, Diesmann M, et al. (2020) Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. Frontiers in Neuroinformatics. 14: 12
Schmidt M, Bakker R, Hilgetag CC, et al. (2020) Correction to: Multi-scale account of the network structure of macaque visual cortex. Brain Structure & Function
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