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2020 – today
- 2024
[j8]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)- 2023
- [j7]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) - 2022
- [j6]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
- [j5]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) - [j4]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) - 2020
- [j3]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)
2010 – 2019
- 2018
- [j2]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) - [c2]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 - 2017
- [c1]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 - 2015
- [j1]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)
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