Blar i Brage NMBU på forfatter "Kunkel, Susanne"
-
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) -
Extending the functionality of the power law-based STDP synaptic model by implementing the support for delay value dominated by axonal propagation
Rengarajan, Sanjayan (Master thesis, 2022)Learning is conceptualized to be possible due to the reconfiguration of neural networks in the brain. This ability is referred to as neuroplasticity. One of the ways by which plasticity is observed can be explained by ... -
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) -
Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models
Pauli, Robin; Weidel, Philipp; Kunkel, Susanne; Morrison, Abigail (Journal article; Peer reviewed, 2018) -
Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models
Pauli, Robin; Weidel, Philipp; Kunkel, Susanne; Morrison, Abigail (Journal article; Peer reviewed, 2018) -
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)