Blar i Publikasjoner fra Cristin - NMBU på forfatter "Diesmann, Markus"
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Connectivity concepts in neuronal network modeling
Senk, Johanna; Kriener, Birgit; Djurfeldt, Mikael; Voges, Nicole; Jiang, Han-Jia; Schüttler, Lisa; Gramelsberger, Gabriele; Diesmann, Markus; Plesser, Hans Ekkehard; van Albada, Sacha J. (Peer reviewed; Journal article, 2022) -
Constructing neuronal network models in massively parallel environments
Ippen, Tammo; Eppler, Jochen Martin; Plesser, Hans Ekkehard; Diesmann, Markus (Journal article; Peer reviewed, 2017) -
Efficient communication in distributed simulations of spiking neuronal networks with gap junctions
Jordan, Jakob; Helias, Moritz; Diesmann, Markus; Kunkel, Susanne (Peer reviewed; Journal article, 2020) -
Extremely scalable spiking neuronal network simulation code: From laptops to exascale computers
Jordan, Jakob; Ippen, Tammo; Helias, Moritz; Kitayama, Itaru; Sato, Mitsuhisa; Igarashi, Jun; Diesmann, Markus; Kunkel, Susanne (Journal article; Peer reviewed, 2018) -
Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.
Hagen, Espen; Dahmen, David; Stavrinou, Maria; Linden, Henrik; Tetzlaff, Tom; Van Albada, Sacha; Gruen, Sonja; Diesmann, Markus; Einevoll, Gaute (Journal article; Peer reviewed, 2016)With rapidly advancing multi-electrode recording technology, the local field potential (LFP) has again become a popular measure of neuronal activity in both research and clinical applications. Proper understanding of the ... -
Spiking network simulation code for petascale computers
Kunkel, Susanne; Schmidt, Maximilian; Eppler, Jochen M; Plesser, Hans Ekkehard; Masumoto, Gen; Igarashi, Jun; Ishii, Shin; Fukai, Tomoki; Morrison, Abigail; Diesmann, Markus; Helias, Moritz (Journal article; Peer reviewed, 2014)