GH
Geir Halnes
Models, Neurologicalneuroscienceq-bio.NCAction Potentialscomputational modellingelectrodiffusionephaptic couplingextracellular potentialModels, BiologicalNeurons
On Valency
published · living versionsW_hegwxta4·v1 · currentpublished
Electrodiffusive model for astrocytic and neuronal ion concentration dynamics
with Ivar Østby, Klas H. Pettersen, Stig W. Omholt, Gaute T. Einevoll
1 version
Preprints & journals
43 papers in the corpus · 2007–2026Functional distinction between ionic and electric ephaptic effects on neuronal firing dynamics10.64898/2026.03.26.714388v1 · Hauge, E., Saetra, M. J., Einevoll, G. et al.2026 · 0 citationsbioRxiv
Modeling and simulation of electrodiffusion in dense reconstructions of cerebral tissue2512.03224v1 · Halvor Herlyng, Marius Causemann, Gaute T. Einevoll et al.2025 · 0 citationsarXiv
Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries.32269519 · Ellingsrud, Ada J, Solbrå, Andreas, Einevoll, Gaute T et al.2024 · 64 citationsFrontiers in neuroinformatics. 2020;14:11
Biophysical Psychiatry-How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders.31440172 · Mäki-Marttunen, Tuomo, Kaufmann, Tobias, Elvsåshagen, Torbjørn et al.2024 · 31 citationsFrontiers in psychiatry. 2019;10:534
An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons.28484385 · Tveito, Aslak, Jæger, Karoline H, Lines, Glenn T et al.2024 · 76 citationsFrontiers in computational neuroscience. 2017;11:27
Interplay of CaHVA and Ca2+-activated K+ channels affecting firing rate in perineuronal net disruption10.1101/2023.06.05.543694v1 · Hanssen, K. O., Ness, T. V., Halnes, G.2023 · 0 citationsbioRxiv
Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets.37058180 · Hanssen, Kine Ødegård, Grødem, Sverre, Fyhn, Marianne et al.2023 · 14 citationsJournal of computational neuroscience. 2023;51(2):283-298
Brain signal predictions from multi-scale networks using a linearized framework.35960767 · Hagen, Espen, Magnusson, Steinn H, Ness, Torbjørn V et al.2022 · 29 citationsPLoS computational biology. 2022;18(8):e1010353
Brain signal predictions from multi-scale networks using a linearized framework10.1101/2022.02.28.482256v3 · Hagen, E., Magnusson, S. H., Ness, T. V. et al.2022 · 29 citationsbioRxiv
Computing Extracellular Electric Potentials from Neuronal Simulations.35471540 · Ness, Torbjørn V, Halnes, Geir, Næss, Solveig et al.2022 · 14 citationsAdvances in experimental medicine and biology. 2022;1359:179-199
Validating a Computational Framework for Ionic Electrodiffusion with Cortical Spreading Depression as a Case Study.35365505 · Ellingsrud, Ada J, Dukefoss, Didrik B, Enger, Rune et al.2022 · 11 citationseNeuro. 2022;9(2)
Functional Effects of Schizophrenia-Linked Genetic Variants on Intrinsic Single-Neuron Excitability: A Modeling Study.26949748 · Mäki-Marttunen, Tuomo, Halnes, Geir, Devor, Anna et al.2022 · 27 citationsBiological psychiatry. Cognitive neuroscience and neuroimaging. 2016;1(1):49-59
Validating a computational framework for ionicelectrodiffusion with cortical spreading depression as a case study10.1101/2021.11.29.470301v2 · Ellingsrud, A. J., Enger, R., Dukefoss, D. B. et al.2021 · 6 citationsbioRxiv
An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain.34270543 · Sætra, Marte J, Einevoll, Gaute T, Halnes, Geir2021 · 26 citationsPLoS computational biology. 2021;17(7):e1008143
Computing extracellular electric potentials from neuronal simulations2006.16630v2 · Torbj\orn V. Ness, Geir Halnes, Solveig N\aess et al.2020 · 14 citationsarXiv
Biophysically detailed forward modeling of the neural origin of EEG and MEG signals.33075556 · Næss, Solveig, Halnes, Geir, Hagen, Espen et al.2021 · 84 citationsNeuroImage. 2021;225:117467
Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience.30154710 · Tennøe, Simen, Halnes, Geir, Einevoll, Gaute T2020 · 124 citationsFrontiers in neuroinformatics. 2018;12:49
An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanisms.32348299 · Sætra, Marte J, Einevoll, Gaute T, Halnes, Geir2020 · 46 citationsPLoS computational biology. 2020;16(4):e1007661
An electrodiffusive neuron-extracellular-glia model with somatodendritic interactions10.1101/2020.07.13.200287v1 · Saetra, M. J., Halnes, G., Einevoll, G. T.2020 · 4 citationsbioRxiv
Biophysical modeling of the neural origin of EEG and MEG signals10.1101/2020.07.01.181875v1 · Naess, S., Halnes, G., Hagen, E. et al.2020 · 0 citationsbioRxiv
A computational model for gonadotropin releasing cells in the teleost fish medaka.31437161 · Halnes, Geir, Tennøe, Simen, Haug, Trude M et al.2020 · 5 citationsPLoS computational biology. 2019;15(8):e1006662
An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanisms10.1101/2020.01.20.912378v1 · Saetra, M. J., Einevoll, G. T., Halnes, G.2020 · 46 citationsbioRxiv
Astrocytic Ion Dynamics: Implications for Potassium Buffering and Liquid Flow1606.02917v3 · Geir Halnes, Klas H. Pettersen, Leiv \Oyehaug et al.2016 · 14 citationsM. De Pitt\`a and H. Berry (eds.), Computational Glioscience, Springer Series in Computational Neuroscience, Springer Nature Switzerland AG 2019
A Kirchhoff-Nernst-Planck framework for modeling large scale extracellular electrodiffusion surrounding morphologically detailed neurons.30286073 · Solbrå, Andreas, Bergersen, Aslak Wigdahl, van den Brink, Jonas et al.2019 · 54 citationsPLoS computational biology. 2018;14(10):e1006510
BK channels have opposite effects on sodium versus calcium-mediated action potentials in endocrine pituitary cells.10.1101/477976v1 · Halnes, G., Tennoe, S., Haug, T. M. et al.2018 · 0 citationsbioRxiv
A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells.28993204 · Mäki-Marttunen, Tuomo, Halnes, Geir, Devor, Anna et al.2018 · 29 citationsJournal of neuroscience methods. 2018;293:264-283
Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells.29377888 · Martínez-Cañada, Pablo, Mobarhan, Milad Hobbi, Halnes, Geir et al.2018 · 15 citationsPLoS computational biology. 2018;14(1):e1005930
Firing-rate based network modeling of the dLGN circuit: Effects of cortical feedback on spatiotemporal response properties of relay cells.29771919 · Mobarhan, Milad Hobbi, Halnes, Geir, Martínez-Cañada, Pablo et al.2018 · 12 citationsPLoS computational biology. 2018;14(5):e1006156
Ion diffusion may introduce spurious current sources in current-source density (CSD) analysis.28298307 · Halnes, Geir, Mäki-Marttunen, Tuomo, Pettersen, Klas H et al.2018 · 17 citationsJournal of neurophysiology. 2017;118(1):114-120
Uncertainpy: A Python toolbox for uncertainty quantification and sensitivity analysis in computational neuroscience.10.1101/274779v1 · Tennoe, S., Halnes, G., Einevoll, G. T.2018 · 124 citationsbioRxiv
A Kirchhoff-Nernst-Planck framework for modeling large scale extracellular electrodiffusion surrounding morphologically detailed neurons10.1101/261107v1 · Solbra, A., Bergersen, A. W., van den Brink, J. et al.2018 · 54 citationsbioRxiv
Firing-Rate Based Network Modeling of the dLGN Circuit: Effects of Cortical Feedback on Spatiotemporal Response Properties of Relay Cells10.1101/246140v1 · Hobbi Mobarhan, M., Halnes, G., Martinez-Canada, P. et al.2018 · 12 citationsbioRxiv
From Maxwell's equations to the theory of current-source density analysis.28177156 · Gratiy, Sergey L, Halnes, Geir, Denman, Daniel et al.2017 · 41 citationsThe European journal of neuroscience. 2017;45(8):1013-1023
Biophysical Network Modelling of the dLGN Circuit: Different Effects of Triadic and Axonal Inhibition on Visual Responses of Relay Cells.27203421 · Heiberg, Thomas, Hagen, Espen, Halnes, Geir et al.2017 · 16 citationsPLoS computational biology. 2016;12(5):e1004929
The effect of ionic diffusion on extracellular potentials in neural tissue1505.06033v2 · Geir Halnes, Tuomo Maki-Marttunen, Daniel Keller et al.2015 · 71 citationsarXivon Valency
Functional effects of schizophrenia-linked genetic variants on intrinsic single-neuron excitability: A modeling study1509.07258v1 · Tuomo Maki-Marttunen, Geir Halnes, Anna Devor et al.2015 · 27 citationsarXiv
The subcellular distribution of T-type Ca2+ channels in interneurons of the lateral geniculate nucleus.25268996 · Allken, Vaneeda, Chepkoech, Joy-Loi, Einevoll, Gaute T et al.2015 · 10 citationsPloS one. 2014;9(9):e107780
Electrodiffusive model for astrocytic and neuronal ion concentration dynamics1304.7782v2 · Geir Halnes, Ivar \Ostby, Klas H. Pettersen et al.2013 · 88 citationsarXivon Valency
A multi-compartment model for interneurons in the dorsal lateral geniculate nucleus.21980270 · Halnes, Geir, Augustinaite, Sigita, Heggelund, Paul et al.2012 · 44 citationsPLoS computational biology. 2011;7(9):e1002160
Modelling and sensitivity analysis of the reactions involving receptor, G-protein and effector in vertebrate olfactory receptor neurons.19533315 · Halnes, Geir, Ulfhielm, Erik, Eklöf Ljunggren, Emma et al.2010 · 16 citationsJournal of computational neuroscience. 2009;27(3):471-91
Density dependent neurodynamics.17284343 · Halnes, Geir, Liljenström, Hans, Arhem, Peter2007 · 10 citationsBio Systems. 2007;89(1-3):126-34
Career total: 98 works. 43 are in this corpus.Showing the 41 most recent.
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