Browsing Brage NMBU by Journals "Frontiers in Neuroinformatics"
Now showing items 1-10 of 10
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Constructing neuronal network models in massively parallel environments
(Journal article; Peer reviewed, 2017) -
Efficient communication in distributed simulations of spiking neuronal networks with gap junctions
(Peer reviewed; Journal article, 2020) -
Extremely scalable spiking neuronal network simulation code: From laptops to exascale computers
(Journal article; Peer reviewed, 2018) -
Finite element simulation of ionic electrodiffusion in cellular geometries
(Peer reviewed; Journal article, 2020)Mathematical models for excitable cells are commonly based on cable theory, which considers a homogenized domain and spatially constant ionic concentrations. Although such models provide valuable insight, the effect of ... -
Finite element simulation of ionic electrodiffusion in cellular geometries
(Journal article; Peer reviewed, 2020) -
Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0
(Journal article; Peer reviewed, 2018)Recordings of extracellular electrical, and later also magnetic, brain signals have been the dominant technique for measuring brain activity for decades. The interpretation of such signals is however nontrivial, as the ... -
Reproducibility vs. Replicability: A Brief History of a Confused Terminology
(Journal article; Peer reviewed, 2018) -
Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models
(Journal article; Peer reviewed, 2018) -
Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models
(Journal article; Peer reviewed, 2018) -
Uncertainpy: A Python toolbox for uncertainty quantification and sensitivity analysis in computational neuroscience
(Journal article; Peer reviewed, 2018)