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2020 – today
- 2024
[j52]Jonas Verhellen, Kosio Beshkov
, Sebastian Amundsen, Torbjørn V. Ness, Gaute T. Einevoll:
Multitask learning of a biophysically-detailed neuron model. PLoS Comput. Biol. 20(7): 1011728 (2024)- [i2]Kosio Beshkov, Gaute T. Einevoll:
A rank decomposition for the topological classification of neural representations. CoRR abs/2404.19710 (2024) - 2023
- [j51]Kine Ødegård Hanssen, Sverre Grødem, Marianne Fyhn, Torkel Hafting, Gaute T. Einevoll, Torbjørn V. Ness, Geir Halnes:
Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets. J. Comput. Neurosci. 51(2): 283-298 (2023) - [j50]Jan-Eirik W. Skaar, Nicolai Haug, Alexander J. Stasik, Gaute T. Einevoll, Kristin Tøndel:
Metamodelling of a two-population spiking neural network. PLoS Comput. Biol. 19(11) (2023) - 2022
- [j49]Espen Hagen, Steinn H. Magnusson, Torbjørn V. Ness, Geir Halnes, Pooja N. Babu, Charl A. P. Linssen, Abigail Morrison, Gaute T. Einevoll:
Brain signal predictions from multi-scale networks using a linearized framework. PLoS Comput. Biol. 18(8) (2022) - 2021
- [j48]Solveig Næss, Geir Halnes, Espen Hagen, Donald J. Hagler Jr., Anders M. Dale, Gaute T. Einevoll, Torbjørn V. Ness:
Biophysically detailed forward modeling of the neural origin of EEG and MEG signals. NeuroImage 225: 117467 (2021) - [j47]Alessio Paolo Buccino, Gaute T. Einevoll:
MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity. Neuroinformatics 19(1): 185-204 (2021) - [j46]Espen Hagen, Anna R. Chambers, Gaute T. Einevoll, Klas H. Pettersen, Rune Enger, Alexander J. Stasik:
RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection. Neuroinformatics 19(3): 493-514 (2021) - [j45]Pablo Martínez-Cañada, Torbjørn V. Ness, Gaute T. Einevoll, Tommaso Fellin, Stefano Panzeri:
Computation of the electroencephalogram (EEG) from network models of point neurons. PLoS Comput. Biol. 17(4) (2021) - [j44]Marte J. Sætra, Gaute T. Einevoll, Geir Halnes:
An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain. PLoS Comput. Biol. 17(7) (2021) - 2020
- [j43]Justen Geddes, Gaute T. Einevoll, Evrim Acar, Alexander J. Stasik:
Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions. Frontiers Appl. Math. Stat. 6: 41 (2020) - [j42]Ada J. Ellingsrud, Andreas Solbrå, Gaute T. Einevoll, Geir Halnes, Marie E. Rognes:
Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries. Frontiers Neuroinformatics 14: 11 (2020) - [j41]Mathias Valstad, Torgeir Moberget, Daniël Roelfs, Nora B. Slapø, Clara M. F. Timpe, Dani Beck, Geneviève Richard, Linn Sofie Sæther, Beathe Haatveit, Knut Andre Skaug, Jan Egil Nordvik, Christoffer Hatlestad-Hall, Gaute T. Einevoll, Tuomo Mäki-Marttunen, Lars T. Westlye, Erik G. Jönsson, Ole A. Andreassen, Torbjørn Elvsåshagen:
Experience-dependent modulation of the visual evoked potential: Testing effect sizes, retention over time, and associations with age in 415 healthy individuals. NeuroImage 223: 117302 (2020) - [j40]Jan-Eirik W. Skaar, Alexander J. Stasik, Espen Hagen, Torbjørn V. Ness, Gaute T. Einevoll:
Estimation of neural network model parameters from local field potentials (LFPs). PLoS Comput. Biol. 16(3) (2020) - [j39]Marte J. Sætra, Gaute T. Einevoll, Geir Halnes:
An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanisms. PLoS Comput. Biol. 16(4) (2020) - [j38]Kael Dai, Sergey L. Gratiy, Yazan N. Billeh, Richard Xu, Binghuang Cai, Nicholas Cain, Atle E. Rimehaug, Alexander J. Stasik, Gaute T. Einevoll, Stefan Mihalas, Christof Koch, Anton Arkhipov:
Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits. PLoS Comput. Biol. 16(11) (2020)
2010 – 2019
- 2019
- [j37]Tuomo Mäki-Marttunen, Anna Devor, William A. Phillips, Anders M. Dale, Ole A. Andreassen, Gaute T. Einevoll:
Computational Modeling of Genetic Contributions to Excitability and Neural Coding in Layer V Pyramidal Cells: Applications to Schizophrenia Pathology. Frontiers Comput. Neurosci. 13: 66 (2019) - [j36]Geir Halnes, Simen Tennøe, Trude M. Haug, Gaute T. Einevoll, Finn-Arne Weltzien, Kjetil Hodne:
A computational model for gonadotropin releasing cells in the teleost fish medaka. PLoS Comput. Biol. 15(8) (2019) - [i1]Ada J. Ellingsrud, Andreas Solbrå, Gaute T. Einevoll, Geir Halnes, Marie E. Rognes:
Finite element simulation of ionicelectrodiffusion in cellular geometries. CoRR abs/1911.03211 (2019) - 2018
- [j35]Simen Tennøe, Geir Halnes, Gaute T. Einevoll:
Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience. Frontiers Neuroinformatics 12: 49 (2018) - [j34]Espen Hagen, Solveig Næss, Torbjørn V. Ness, Gaute T. Einevoll:
Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0. Frontiers Neuroinformatics 12: 92 (2018) - [j33]Thomas Heiberg, Birgit Kriener, Tom Tetzlaff, Gaute T. Einevoll, Hans E. Plesser:
Firing-rate models for neurons with a broad repertoire of spiking behaviors. J. Comput. Neurosci. 45(2): 103-132 (2018) - [j32]Pablo Martínez-Cañada, Milad Hobbi Mobarhan, Geir Halnes, Marianne Fyhn, Christian A. Morillas, Francisco J. Pelayo, Gaute T. Einevoll:
Biophysical network modeling of the dLGN circuit: Effects of cortical feedback on spatial response properties of relay cells. PLoS Comput. Biol. 14(1) (2018) - [j31]Milad Hobbi Mobarhan, Geir Halnes, Pablo Martínez-Cañada, Torkel Hafting, Marianne Fyhn, Gaute T. Einevoll:
Firing-rate based network modeling of the dLGN circuit: Effects of cortical feedback on spatiotemporal response properties of relay cells. PLoS Comput. Biol. 14(5) (2018) - [j30]Andreas Solbrå, Aslak Wigdahl Bergersen, Jonas van den Brink, Anders Malthe-Sørenssen, Gaute T. Einevoll, Geir Halnes:
A Kirchhoff-Nernst-Planck framework for modeling large scale extracellular electrodiffusion surrounding morphologically detailed neurons. PLoS Comput. Biol. 14(10) (2018) - [c4]Alessio Paolo Buccino, Torbjørn V. Ness, Gaute T. Einevoll, Gert Cauwenberghs, Philipp Dominik Häfliger:
A Deep Learning Approach for the Classification of Neuronal Cell Types. EMBC 2018: 999-1002 - [c3]Alessio Paolo Buccino, Espen Hagen, Gaute T. Einevoll, Philipp Dominik Häfliger, Gert Cauwenberghs:
Independent Component Analysis for Fully Automated Multi-Electrode Array Spike Sorting. EMBC 2018: 2627-2630 - 2017
- [j29]Aslak Tveito, Karoline H. Jæger, Glenn T. Lines, Lukasz Paszkowski, Joakim Sundnes, Andrew G. Edwards, Tuomo Mäki-Marttunen, Geir Halnes, Gaute T. Einevoll:
An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons. Frontiers Comput. Neurosci. 11: 27 (2017) - [c2]Alessio Paolo Buccino, Torbjørn V. Ness, Gaute T. Einevoll, Gert Cauwenberghs, Philipp Dominik Häfliger:
Localizing neuronal somata from Multi-Electrode Array in-vivo recordings using deep learning. EMBC 2017: 974-977 - [c1]Jin Hyung Lee, David E. Carlson, Hooshmand Shokri Razaghi, Weichi Yao, Georges A. Goetz, Espen Hagen, Eleanor Batty, E. J. Chichilnisky, Gaute T. Einevoll, Liam Paninski:
YASS: Yet Another Spike Sorter. NIPS 2017: 4002-4012 - 2016
- [j28]Helena T. Glabska, Eivind S. Norheim, Anna Devor, Anders M. Dale, Gaute T. Einevoll, Daniel K. Wójcik:
Generalized Laminar Population Analysis (gLPA) for Interpretation of Multielectrode Data from Cortex. Frontiers Neuroinformatics 10: 1 (2016) - [j27]Thomas Heiberg, Espen Hagen, Geir Halnes, Gaute T. Einevoll:
Biophysical Network Modelling of the dLGN Circuit: Different Effects of Triadic and Axonal Inhibition on Visual Responses of Relay Cells. PLoS Comput. Biol. 12(5) (2016) - [j26]Geir Halnes, Tuomo Mäki-Marttunen, Daniel Keller, Klas H. Pettersen, Ole A. Andreassen, Gaute T. Einevoll:
Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue. PLoS Comput. Biol. 12(11) (2016) - 2015
- [j25]Torbjørn V. Ness, Chaitanya Chintaluri, Jan Potworowski, Szymon Leski, Helena T. Glabska, Daniel K. Wójcik, Gaute T. Einevoll:
Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs). Neuroinformatics 13(4): 403-426 (2015) - [j24]Alberto Mazzoni, Henrik Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute T. Einevoll:
Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. PLoS Comput. Biol. 11(12) (2015) - 2014
- [j23]Birgit Kriener, Håkon Enger, Tom Tetzlaff, Hans Ekkehard Plesser, Marc-Oliver Gewaltig, Gaute T. Einevoll:
Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses. Frontiers Comput. Neurosci. 8: 136 (2014) - [j22]Klas H. Pettersen, Henrik Lindén, Tom Tetzlaff, Gaute T. Einevoll:
Power Laws from Linear Neuronal Cable Theory: Power Spectral Densities of the Soma Potential, Soma Membrane Current and Single-Neuron Contribution to the EEG. PLoS Comput. Biol. 10(11) (2014) - [r2]Gaute T. Einevoll:
Extracellular Potentials, Forward Modeling of. Encyclopedia of Computational Neuroscience 2014 - [r1]Gaute T. Einevoll, Geir Halnes:
Lateral Geniculate Nucleus (LGN) Models. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j21]Birgit Kriener, Moritz Helias, Stefan Rotter, Markus Diesmann, Gaute T. Einevoll:
How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. Frontiers Comput. Neurosci. 7: 187 (2013) - [j20]Henrik Lindén, Espen Hagen, Szymon Leski, Eivind S. Norheim, Klas H. Pettersen, Gaute T. Einevoll:
LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons. Frontiers Neuroinformatics 7: 41 (2013) - [j19]Thomas Heiberg, Birgit Kriener, Tom Tetzlaff, Alex Casti, Gaute T. Einevoll, Hans E. Plesser:
Firing-rate models capture essential response dynamics of LGN relay cells. J. Comput. Neurosci. 35(3): 359-375 (2013) - [j18]M. Yousaf, Birgit Kriener, John Wyller, Gaute T. Einevoll:
Generation and annihilation of localized persistent-activity states in a two-population neural-field model. Neural Networks 46: 75-90 (2013) - [j17]Szymon Leski, Henrik Lindén, Tom Tetzlaff, Klas H. Pettersen, Gaute T. Einevoll:
Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential. PLoS Comput. Biol. 9(7) (2013) - [j16]Geir Halnes, Ivar Østby, Klas H. Pettersen, Stig W. Omholt, Gaute T. Einevoll:
Electrodiffusive Model for Astrocytic and Neuronal Ion Concentration Dynamics. PLoS Comput. Biol. 9(12) (2013) - 2012
- [j15]Leiv Øyehaug, Ivar Østby, Catherine M. Lloyd, Stig W. Omholt, Gaute T. Einevoll:
Dependence of spontaneous neuronal firing and depolarisation block on astroglial membrane transport mechanisms. J. Comput. Neurosci. 32(1): 147-165 (2012) - [j14]Tom Tetzlaff, Moritz Helias, Gaute T. Einevoll, Markus Diesmann:
Decorrelation of Neural-Network Activity by Inhibitory Feedback. PLoS Comput. Biol. 8(8) (2012) - 2011
- [j13]Sergey L. Gratiy, Anna Devor, Gaute T. Einevoll, Anders M. Dale:
On the Estimation of Population-Specific Synaptic Currents from Laminar Multielectrode Recordings. Frontiers Neuroinformatics 5: 32 (2011) - [j12]Szymon Leski, Klas H. Pettersen, Beth Tunstall, Gaute T. Einevoll, John Gigg, Daniel K. Wójcik:
Inverse Current Source Density Method in Two Dimensions: Inferring Neural Activation from Multielectrode Recordings. Neuroinformatics 9(4): 401-425 (2011) - [j11]Geir Halnes, Sigita Augustinaite, Paul Heggelund, Gaute T. Einevoll, Michele Migliore:
A Multi-Compartment Model for Interneurons in the Dorsal Lateral Geniculate Nucleus. PLoS Comput. Biol. 7(9) (2011) - 2010
- [j10]Eilen Nordlie, Tom Tetzlaff, Gaute T. Einevoll:
Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong Synapses. Frontiers Comput. Neurosci. 4: 149 (2010) - [j9]Gaute T. Einevoll, Daniel K. Wójcik, Alain Destexhe:
Modeling extracellular potentials. J. Comput. Neurosci. 29(3): 367-369 (2010) - [j8]Henrik Lindén, Klas H. Pettersen, Gaute T. Einevoll:
Intrinsic dendritic filtering gives low-pass power spectra of local field potentials. J. Comput. Neurosci. 29(3): 423-444 (2010)
2000 – 2009
- 2009
- [j7]Ivar Østby, Leiv Øyehaug, Gaute T. Einevoll, Erlend A. Nagelhus, Erik Plahte, Thomas Zeuthen, Catherine M. Lloyd, Ole Petter Ottersen, Stig W. Omholt:
Astrocytic Mechanisms Explaining Neural-Activity-Induced Shrinkage of Extraneuronal Space. PLoS Comput. Biol. 5(1) (2009) - [j6]Patrick Blomquist, Anna Devor, Ulf G. Indahl, István Ulbert, Gaute T. Einevoll, Anders M. Dale:
Estimation of Thalamocortical and Intracortical Network Models from Joint Thalamic Single-Electrode and Cortical Laminar-Electrode Recordings in the Rat Barrel System. PLoS Comput. Biol. 5(3) (2009) - 2008
- [j5]Klas H. Pettersen, Espen Hagen, Gaute T. Einevoll:
Estimation of population firing rates and current source densities from laminar electrode recordings. J. Comput. Neurosci. 24(3): 291-313 (2008) - 2007
- [j4]Øyvind Nordbø, John Wyller, Gaute T. Einevoll:
Neural network firing-rate models on integral form. Biol. Cybern. 97(3): 195-209 (2007) - 2002
- [j3]Hans E. Plesser, Gaute T. Einevoll, Paul Heggelund:
Mechanistic modeling of the retinogeniculate circuit in cat. Neurocomputing 44-46: 973-978 (2002) - 2001
- [j2]Anette Kocbach, Gaute T. Einevoll, Paul Heggelund:
Probing mechanistic models for the retinogeniculate circuit in cat using drifting gratings. Neurocomputing 38-40: 727-732 (2001) - 2000
- [j1]Gaute T. Einevoll, Anette Kocbach, Paul Heggelund:
Probing the retino-geniculate circuit in cat using circular spot stimuli. Neurocomputing 32-33: 727-733 (2000)
Coauthor Index
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last updated on 2024-12-02 21:33 CET by the dblp team
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