GE
Gaute T. Einevoll
Models, NeurologicalneuroscienceNeuronsq-bio.NCAction Potentialslocal field potentialNeural Networks, Computerextracellular potentialComputer SimulationLFP
On Valency
published · living versionsW_mpd5zma7·v1 · currentpublished
On 1/f^alpha power laws originating from linear neuronal cable theory: power spectral densities of the soma potential, transmembrane current and single-neuron contribution to the EEG
with Klas H. Pettersen, Henrik Lindén, Tom Tetzlaff
1 version
Preprints & journals
170 papers in the corpus · 2001–2026Topological structure of population activity in mouse visual cortex encodes densely sampled stimulus rotations.38523791 · Beshkov, Kosio, Fyhn, Marianne, Hafting, Torkel et al.2026 · 8 citationsiScience. 2024;27(4):109370
Multimodal evidence for a mechanistic model of working memory deficits in schizophrenia.42428116 · Mäki-Marttunen, Tuomo, Parker, Nadine, Mäki-Marttunen, Verónica et al.2026 · 0 citationsmedRxiv : the preprint server for health sciences. 2026
Computational Modelling of Novelty Detection in the Mismatch Negativity Protocols and Its Impairments in Schizophrenia.41862424 · Eissa, Ahmed, Fredrik Kismul, Jan, Pentz, Atle Bråthen et al.2026 · 0 citationsThe European journal of neuroscience. 2026;63(6):e70453
Cell-type dependence of effects from transcranial electric brain stimulation10.64898/2026.04.19.719457v1 · Dahle, S., Einevoll, G. T., Ness, T. V.2026 · 0 citationsbioRxiv
Functional 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
Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theorem.41396984 · Ness, Torbjørn V, Koch, Christof, Einevoll, Gaute T2025 · 1 citationPLoS computational biology. 2025;21(12):e1013782
Modeling and simulation of electrodiffusion in dense reconstructions of cerebral tissue2512.03224v1 · Halvor Herlyng, Marius Causemann, Gaute T. Einevoll et al.2025 · 0 citationsarXiv
Ultra-high-density Neuropixels probes improve detection and identification in neuronal recordings.41033305 · Ye, Zhiwen, Shelton, Andrew M, Shaker, Jordan R et al.2025 · 25 citationsNeuron. 2025;113(23):3966-3982.e12
Kernel-based LFP estimation in detailed large-scale spiking network model of mouse visual cortex.40694892 · Meneghetti, Nicolò, Rimehaug, Atle E, Einevoll, Gaute T et al.2025 · 3 citationsNeural networks : the official journal of the International Neural Network Society. 2025;192:107866
Computational modelling of schizophrenia-associated alterations of ion-channel-encoding gene expression predicts a decrease in delta power10.1101/2025.10.20.683062v1 · Kismul, J. F., Ness, T. V., Elvsashagen, T. et al.2025 · 0 citationsbioRxiv
Computational modelling of novelty detection in the mismatch negativity protocols and its impairments in schizophrenia10.1101/2025.09.30.679453v1 · Eissa, A., Kismul, J. F., Pentz, A. B. et al.2025 · 0 citationsbioRxiv
Pre- and Post-synaptic Mechanisms of Neuronal Inhibition Assessed Through Biochemically Detailed Modeling of GABAB Receptor Signaling.40769724 · Mäki-Marttunen, Tuomo, Kismul, Jan Fredrik, Pajo, Kadri et al.2025 · 2 citationsThe Journal of neuroscience : the official journal of the Society for Neuroscience. 2025;45(36)
The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing.40800542 · Amunts, Katrin, Axer, Markus, Banerjee, Swati et al.2025 · 48 citationsImaging neuroscience (Cambridge, Mass.). 2024;2
Predicting neural responses to intra- and extra-cranial electric brain stimulation by means of the reciprocity theorem10.1101/2024.08.04.603691v3 · Ness, T. V., Koch, C., Einevoll, G.2024 · 1 citationbioRxiv
On the validity of electric brain signal predictions based on population firing rates.40228210 · Ness, Torbjørn V, Tetzlaff, Tom, Einevoll, Gaute T et al.2025 · 11 citationsPLoS computational biology. 2025;21(4):e1012303
Pre- and postsynaptic mechanisms of neuronal inhibition assessed through biochemically detailed modelling of GABAB receptor signalling10.1101/2025.03.19.644198v1 · Mäki-Marttunen, T., Kismul, J. F., Pajo, K. et al.2025 · 2 citationsbioRxiv
Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis.39666739 · Rimehaug, Atle E, Dale, Anders M, Arkhipov, Anton et al.2024 · 0 citationsPLoS computational biology. 2024;20(12):e1011830
Kernel-based LFP estimation in detailed large-scale spiking network model of mouse visual cortex10.1101/2024.11.29.626029v1 · Meneghetti, N., Rimehaug, A., Einevoll, G. et al.2024 · 3 citationsbioRxiv
Spatially resolved estimation of metabolic oxygen consumption from optical measurements in cortex.32855994 · Sætra, Marte J, Solbrå, Andreas V, Devor, Anna et al.2024 · 8 citationsNeurophotonics. 2020;7(3):035005
Genetic mechanisms for impaired synaptic plasticity in schizophrenia revealed by computational modeling.39141354 · Mäki-Marttunen, Tuomo, Blackwell, Kim T, Akkouh, Ibrahim et al.2024 · 15 citationsProceedings of the National Academy of Sciences of the United States of America. 2024;121(34):e2312511121
Multitask learning of a biophysically-detailed neuron model.39083546 · Verhellen, Jonas, Beshkov, Kosio, Amundsen, Sebastian et al.2024 · 0 citationsPLoS computational biology. 2024;20(7):e1011728
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
On the validity of electric brain signal predictions based on population firing rates10.1101/2024.07.10.602833v1 · Ness, T. V., Tetzlaff, T., Einevoll, G. T. et al.2024 · 11 citationsbioRxiv
A rank decomposition for the topological classification of neural representations2404.19710v3 · Kosio Beshkov, Gaute T. Einevoll2024 · 0 citationsarXiv
Ultra-high density electrodes improve detection, yield, and cell type identification in neuronal recordings10.1101/2023.08.23.554527v3 · Ye, Z., Shelton, A. M., Shaker, J. R. et al.2023 · 31 citationsbioRxiv
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
Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis10.1101/2024.01.15.575805v1 · Rimehaug, A. E., Dale, A. M., Arkhipov, A. et al.2024 · 4 citationsbioRxiv
Multitask Learning of Biophysically-Detailed Neuron Models10.1101/2023.12.05.570220v1 · Verhellen, J., Beshkov, K., Amundsen, S. et al.2023 · 1 citationbioRxiv
Metamodelling of a two-population spiking neural network.38032904 · Skaar, Jan-Eirik W, Haug, Nicolai, Stasik, Alexander J et al.2023 · 3 citationsPLoS computational biology. 2023;19(11):e1011625
Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex.37486105 · Rimehaug, Atle E, Stasik, Alexander J, Hagen, Espen et al.2023 · 49 citationseLife. 2023;12
Metamodelling of a two-population spiking neural network10.1101/2022.09.05.506616v2 · Skaar, J.-E. W., Haug, N., Stasik, A. J. et al.2022 · 3 citationsbioRxiv
Genetic mechanisms for impaired synaptic plasticity in schizophrenia revealed by computational modelling10.1101/2023.06.14.544920v1 · Mäki-Marttunen, T., Blackwell, K. T., Akkouh, I. et al.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
All-Optical Electrophysiology in hiPSC-Derived Neurons With Synthetic Voltage Sensors.34122014 · Puppo, Francesca, Sadegh, Sanaz, Trujillo, Cleber A et al.2023 · 17 citationsFrontiers in cellular neuroscience. 2021;15:671549
Topological Structure of Population Activity in Mouse Visual Cortex Encodes Visual Scene Rotations10.1101/2023.02.13.528247v1 · Beshkov, K., Einevoll, G. T.2023 · 2 citationsbioRxiv
Baseline oxygen consumption decreases with cortical depth.36301995 · Mächler, Philipp, Fomin-Thunemann, Natalie, Thunemann, Martin et al.2022 · 26 citationsPLoS biology. 2022;20(10):e3001440
Computational cardiac physiology for new modelers: Origins, foundations, and future.35959512 · Koivumäki, Jussi T, Hoffman, Johan, Maleckar, Mary M et al.2022 · 8 citationsActa physiologica (Oxford, England). 2022;236(2):e13865
Imaging through Windansee electrode arrays reveals a small fraction of local neurons following surface MUA10.1101/2022.09.01.506113v1 · Thunemann, M., Hossain, L., Ness, T. V. et al.2022 · 2 citationsbioRxiv
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
Frequency dependence of signal power and spatial reach of the local field potential1302.4559v1 · Szymon \Leski, Henrik Lind'en, Tom Tetzlaff et al.2013 · 169 citationsarXivon Valency
Hybrid scheme for modeling local field potentials from point-neuron networks1511.01681v2 · Espen Hagen, David Dahmen, Maria L. Stavrinou et al.2015 · 105 citationsarXivon Valency
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
Corticothalamic feedback sculpts visual spatial integration in mouse thalamus.34764474 · Born, Gregory, Schneider-Soupiadis, Felix A, Erisken, Sinem et al.2022 · 71 citationsNature neuroscience. 2021;24(12):1711-1720
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
Uncovering circuit mechanisms of current sinksand sources with biophysical simulations ofprimary visual cortex10.1101/2022.02.22.481540v1 · Rimehaug, A. E., Stasik, A. J., Hagen, E. et al.2022 · 4 citationsbioRxiv
Evidence for Reduced Long-Term Potentiation-Like Visual Cortical Plasticity in Schizophrenia and Bipolar Disorder.33963856 · Valstad, Mathias, Roelfs, Daniël, Slapø, Nora B et al.2022 · 32 citationsSchizophrenia bulletin. 2021;47(6):1751-1760
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
Microscopic Quantification of Oxygen Consumption across Cortical Layers10.1101/2021.10.13.464176v1 · Mächler, P., Fomin-Thunemann, N., Thunemann, M. et al.2021 · 8 citationsbioRxiv
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