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Einevoll

Showing results (21-30 of 130) with videos related to

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Frontiers in Computational Neuroscience|January 8, 2011
Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong SynapsesEilen Nordlie, Tom Tetzlaff, Gaute T Einevoll
Plos One|September 21, 2011
Coarse-to-fine changes of receptive fields in lateral geniculate nucleus have a transient and a sustained component that depend on distinct mechanismsGaute T Einevoll, Paulius Jurkus, Paul Heggelund
Frontiers in Neuroinformatics|August 30, 2018
Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational NeuroscienceSimen Tennøe, Geir Halnes, Gaute T Einevoll
Biological Cybernetics|July 3, 2007
Neural network firing-rate models on integral form: effects of temporal coupling kernels on equilibrium-state stabilityOyvind Nordbø, John Wyller, Gaute T Einevoll
Journal of Computational Neuroscience|October 12, 2010
Modeling extracellular potentialsGaute T Einevoll, Daniel K Wójcik, Alain Destexhe
Plos Computational Biology|April 30, 2020
An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanismsMarte J Sætra, Gaute T Einevoll, Geir Halnes
Plos Computational Biology|July 16, 2021
An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brainMarte J Sætra, Gaute T Einevoll, Geir Halnes
Plos Computational Biology|December 15, 2025
Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theoremTorbjørn V Ness, Christof Koch, Gaute T Einevoll
Journal of Computational Neuroscience|May 27, 2010
Intrinsic dendritic filtering gives low-pass power spectra of local field potentialsHenrik Lindén, Klas H Pettersen, Gaute T Einevoll
Hippocampus|November 10, 2006
From grid cells to place cells: a mathematical modelTrygve Solstad, Edvard I Moser, Gaute T Einevoll
Pageof 13

Showing results (21-30 of 130) with videos related to

Sort By:
Pageof 13
Frontiers in Computational Neuroscience|January 8, 2011
Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong SynapsesEilen Nordlie, Tom Tetzlaff, Gaute T Einevoll
Plos One|September 21, 2011
Coarse-to-fine changes of receptive fields in lateral geniculate nucleus have a transient and a sustained component that depend on distinct mechanismsGaute T Einevoll, Paulius Jurkus, Paul Heggelund
Frontiers in Neuroinformatics|August 30, 2018
Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational NeuroscienceSimen Tennøe, Geir Halnes, Gaute T Einevoll
Biological Cybernetics|July 3, 2007
Neural network firing-rate models on integral form: effects of temporal coupling kernels on equilibrium-state stabilityOyvind Nordbø, John Wyller, Gaute T Einevoll
Journal of Computational Neuroscience|October 12, 2010
Modeling extracellular potentialsGaute T Einevoll, Daniel K Wójcik, Alain Destexhe
Plos Computational Biology|April 30, 2020
An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanismsMarte J Sætra, Gaute T Einevoll, Geir Halnes
Plos Computational Biology|July 16, 2021
An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brainMarte J Sætra, Gaute T Einevoll, Geir Halnes
Plos Computational Biology|December 15, 2025
Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theoremTorbjørn V Ness, Christof Koch, Gaute T Einevoll
Journal of Computational Neuroscience|May 27, 2010
Intrinsic dendritic filtering gives low-pass power spectra of local field potentialsHenrik Lindén, Klas H Pettersen, Gaute T Einevoll
Hippocampus|November 10, 2006
From grid cells to place cells: a mathematical modelTrygve Solstad, Edvard I Moser, Gaute T Einevoll
Pageof 13