Author

Solveig Næss

University of Oslo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Assay:electronic health records· 4 Research Focus:software / tool· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:simulation· 1

Frequent Co-Authors

Gaute T. EinevolliD· 4 shared Torbjørn V. NessiD· 4 shared Espen HageniD· 3 shared Anders Martin DaleiD· 2 shared Chaitanya ChintaluriiD· 1 shared Daniel Krzysztof WojcikiD· 1 shared Donald J. HagleriD· 1 shared Geir HalnesiD· 1 shared

Activity by Year

2017-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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4 shared papersNeuroscience

Gaute T. EinevollORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Biophysical modeling of the neural origin of EEG and MEG signals

Solveig Næss, Geir Halnes, Espen Hagen, Donald J. Hagler, Anders Martin Dale, Gaute T. Einevoll, Torbjørn V. Ness

This paper presents a method to compute current dipoles from simulated neural activity to model EEG and MEG signals with biophysical detail.

bioRxiv · Jul 1, 2020 · PreprintNeuroscience

LFPy - multimodal modeling of extracellular neuronal recordings in Python

Espen Hagen, Solveig Næss, Torbjørn V. Ness, Gaute T. Einevoll

LFPy calculates extracellular brain signals from simulated neuron models using Python and NEURON.

bioRxiv · May 3, 2019 · PreprintNeuroscience

Multimodal modeling of neural network activity: computing LFP, ECoG, EEG and MEG signals with LFPy2.0

Espen Hagen, Solveig Næss, Torbjørn V. Ness, Gaute T. Einevoll

The paper extends LFPy to model neural networks and compute LFP, ECoG, EEG, and MEG signals using biophysically accurate forward models and head models.

Frontiers in Neuroinformatics · Dec 18, 2018Peer-reviewedNeuroscience

Four-Sphere Head Model For EEG Signals Revisited

Solveig Næss, Chaitanya Chintaluri, Torbjørn V. Ness, Anders Martin Dale, Gaute T. Einevoll, Daniel Krzysztof Wojcik

The paper derives and corrects analytical formulas for scalp potentials in the four-sphere EEG head model and compares them with FEM simulations.

Frontiers in Human Neuroscience · Oct 18, 2017Peer-reviewedNeuroscience