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

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

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Modelling and analysis of local field potentials for studying the function of cortical circuits von Einevoll, Gaute T., Kayser, Christoph, Logothetis, Nikos K., Panzeri, Stefano

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

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

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

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Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits von 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

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

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

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

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

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

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MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity von Buccino, Alessio Paolo, Einevoll, Gaute Tomas

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

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

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

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Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets von Hanssen, Kine Ødegård, Grødem, Sverre, Fyhn, Marianne, Hafting, Torkel, Einevoll, Gaute T., Ness, Torbjørn Vefferstad, Halnes, Geir

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Baseline oxygen consumption decreases with cortical depth von Mächler, Philipp, Fomin-Thunemann, Natalie, Thunemann, Martin, Sætra, Marte Julie, Desjardins, Michèle, Kılıç, Kıvılcım, Amra, Layth N, Martin, Emily A, Chen, Ichun Anderson, Şencan-Eğilmez, Ikbal, Li, Baoqiang, Saisan, Payam, Jiang, John X, Cheng, Qun, Weldy, Kimberly L, Boas, David A, Buxton, Richard B, Einevoll, Gaute T, Dale, Anders M, Sakadžić, Sava, Devor, Anna

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

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A unified computational model for cortical post-synaptic plasticity von Mäki-Marttunen, Tuomo, Iannella, Nicolangelo, Edwards, Andrew G, Einevoll, Gaute T, Blackwell, Kim T

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