Search Results - "Einevoll, Gaute T."

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  1. 1

    Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation by Pesaran, Bijan, Vinck, Martin, Einevoll, Gaute T., Sirota, Anton, Fries, Pascal, Siegel, Markus, Truccolo, Wilson, Schroeder, Charles E., Srinivasan, Ramesh

    Published in Nature neuroscience (01-07-2018)
    “…New technologies to record electrical activity from the brain on a massive scale offer tremendous opportunities for discovery. Electrical measurements of…”
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  2. 2

    Decorrelation of neural-network activity by inhibitory feedback by Tetzlaff, Tom, Helias, Moritz, Einevoll, Gaute T, Diesmann, Markus

    Published in PLoS computational biology (01-08-2012)
    “…Correlations in spike-train ensembles can seriously impair the encoding of information by their spatio-temporal structure. An inevitable source of correlation…”
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  3. 3

    Modeling the Spatial Reach of the LFP by Lindén, Henrik, Tetzlaff, Tom, Potjans, Tobias C., Pettersen, Klas H., Grün, Sonja, Diesmann, Markus, Einevoll, Gaute T.

    Published in Neuron (Cambridge, Mass.) (08-12-2011)
    “…The local field potential (LFP) reflects activity of many neurons in the vicinity of the recording electrode and is therefore useful for studying local network…”
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  4. 4

    Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models by Mazzoni, Alberto, Lindén, Henrik, Cuntz, Hermann, Lansner, Anders, Panzeri, Stefano, Einevoll, Gaute T

    Published in PLoS computational biology (01-12-2015)
    “…Leaky integrate-and-fire (LIF) network models are commonly used to study how the spiking dynamics of neural networks changes with stimuli, tasks or dynamic…”
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  5. 5

    Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience by Tennøe, Simen, Halnes, Geir, Einevoll, Gaute T

    Published in Frontiers in neuroinformatics (14-08-2018)
    “…Computational models in neuroscience typically contain many parameters that are poorly constrained by experimental data. Uncertainty quantification and…”
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    Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits by Dai, Kael, Gratiy, Sergey L, Billeh, Yazan N, Xu, Richard, Cai, Binghuang, Cain, Nicholas, Rimehaug, Atle E, Stasik, Alexander J, Einevoll, Gaute T, Mihalas, Stefan, Koch, Christof, Arkhipov, Anton

    Published in PLoS computational biology (30-11-2020)
    “…Experimental studies in neuroscience are producing data at a rapidly increasing rate, providing exciting opportunities and formidable challenges to existing…”
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  8. 8

    Brain signal predictions from multi-scale networks using a linearized framework by Hagen, Espen, Magnusson, Steinn H, Ness, Torbjørn V, Halnes, Geir, Babu, Pooja N, Linssen, Charl, Morrison, Abigail, Einevoll, Gaute T

    Published in PLoS computational biology (12-08-2022)
    “…Simulations of neural activity at different levels of detail are ubiquitous in modern neurosciences, aiding the interpretation of experimental data and…”
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  9. 9

    Biophysically detailed forward modeling of the neural origin of EEG and MEG signals by Næss, Solveig, Halnes, Geir, Hagen, Espen, Hagler, Donald J., Dale, Anders M., Einevoll, Gaute T., Ness, Torbjørn V.

    Published in NeuroImage (Orlando, Fla.) (15-01-2021)
    “…•Current dipoles are computed from biophysically detailed simulated neuron and network activity.•Extracted current dipoles allow for accurate computation of…”
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  10. 10

    Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0 by Hagen, Espen, Næss, Solveig, Ness, Torbjørn V, Einevoll, Gaute T

    Published in Frontiers in neuroinformatics (18-12-2018)
    “…Recordings of extracellular electrical, and later also magnetic, brain signals have been the dominant technique for measuring brain activity for decades. The…”
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  11. 11

    Amplitude Variability and Extracellular Low-Pass Filtering of Neuronal Spikes by Pettersen, Klas H., Einevoll, Gaute T.

    Published in Biophysical journal (01-02-2008)
    “…The influence of neural morphology and passive electrical parameters on the width and amplitude of extracellular spikes is investigated by combined analytical…”
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  12. 12

    Multitask learning of a biophysically-detailed neuron model by Verhellen, Jonas, Beshkov, Kosio, Amundsen, Sebastian, Ness, Torbjørn V, Einevoll, Gaute T

    Published in PLoS computational biology (31-07-2024)
    “…The human brain operates at multiple levels, from molecules to circuits, and understanding these complex processes requires integrated research efforts…”
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  13. 13

    An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanisms by Sætra, Marte J, Einevoll, Gaute T, Halnes, Geir

    Published in PLoS computational biology (29-04-2020)
    “…In most neuronal models, ion concentrations are assumed to be constant, and effects of concentration variations on ionic reversal potentials, or of ionic…”
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  14. 14

    Computation of the electroencephalogram (EEG) from network models of point neurons by Martínez-Cañada, Pablo, Ness, Torbjørn V, Einevoll, Gaute T, Fellin, Tommaso, Panzeri, Stefano

    Published in PLoS computational biology (01-04-2021)
    “…The electroencephalogram (EEG) is a major tool for non-invasively studying brain function and dysfunction. Comparing experimentally recorded EEGs with neural…”
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  15. 15

    An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain by Sætra, Marte J, Einevoll, Gaute T, Halnes, Geir

    Published in PLoS computational biology (16-07-2021)
    “…Within the computational neuroscience community, there has been a focus on simulating the electrical activity of neurons, while other components of brain…”
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  16. 16

    Frequency dependence of signal power and spatial reach of the local field potential by Łęski, Szymon, Lindén, Henrik, Tetzlaff, Tom, Pettersen, Klas H, Einevoll, Gaute T

    Published in PLoS computational biology (01-07-2013)
    “…Despite its century-old use, the interpretation of local field potentials (LFPs), the low-frequency part of electrical signals recorded in the brain, is still…”
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  17. 17

    From grid cells to place cells: A mathematical model by Solstad, Trygve, Moser, Edvard I., Einevoll, Gaute T.

    Published in Hippocampus (01-01-2006)
    “…Anatomical connectivity and recent neurophysiological results imply that grid cells in the medial entorhinal cortex are the principal cortical inputs to place…”
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    Intrinsic dendritic filtering gives low-pass power spectra of local field potentials by Lindén, Henrik, Pettersen, Klas H., Einevoll, Gaute T.

    Published in Journal of computational neuroscience (01-12-2010)
    “…The local field potential (LFP) is among the most important experimental measures when probing neural population activity, but a proper understanding of the…”
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  20. 20

    Metamodelling of a two-population spiking neural network by Skaar, Jan-Eirik W, Haug, Nicolai, Stasik, Alexander J, Einevoll, Gaute T, Tøndel, Kristin

    Published in PLoS computational biology (30-11-2023)
    “…In computational neuroscience, hypotheses are often formulated as bottom-up mechanistic models of the systems in question, consisting of differential equations…”
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