Cell type specificity of neurovascular coupling in cerebral cortex H Uhlirova, K Kılıç, P Tian, M Thunemann, M Desjardins, PA Saisan, ... elife 5, e14315, 2016 | 224 | 2016 |
The scientific case for brain simulations GT Einevoll, A Destexhe, M Diesmann, S Grün, V Jirsa, M de Kamps, ... Neuron 102 (4), 735-744, 2019 | 170 | 2019 |
Multimodal modeling of neural network activity: computing LFP, ECoG, EEG, and MEG signals with LFPy 2.0 E Hagen, S Næss, TV Ness, GT Einevoll Frontiers in neuroinformatics 12, 92, 2018 | 117 | 2018 |
Modelling and analysis of electrical potentials recorded in microelectrode arrays (MEAs) TV Ness, C Chintaluri, J Potworowski, S Łęski, H Głąbska, DK Wójcik, ... Neuroinformatics 13, 403-426, 2015 | 88 | 2015 |
Active subthreshold dendritic conductances shape the local field potential TV Ness, MWH Remme, GT Einevoll The Journal of physiology 594 (13), 3809-3825, 2016 | 64 | 2016 |
Impedance spectrum in cortical tissue: Implications for propagation of LFP signals on the microscopic level S Miceli, TV Ness, GT Einevoll, D Schubert Eneuro 4 (1), 2017 | 55 | 2017 |
ViSAPy: a Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms E Hagen, TV Ness, A Khosrowshahi, C Sørensen, M Fyhn, T Hafting, ... Journal of neuroscience methods 245, 182-204, 2015 | 50 | 2015 |
Combining biophysical modeling and deep learning for multielectrode array neuron localization and classification AP Buccino, M Kordovan, TV Ness, B Merkt, PD Häfliger, M Fyhn, ... Journal of neurophysiology 120 (3), 1212-1232, 2018 | 39 | 2018 |
Biophysically detailed forward modeling of the neural origin of EEG and MEG signals S Næss, G Halnes, E Hagen, DJ Hagler Jr, AM Dale, GT Einevoll, ... NeuroImage 225, 117467, 2021 | 37 | 2021 |
How does the presence of neural probes affect extracellular potentials? AP Buccino, M Kuchta, KH Jæger, TV Ness, P Berthet, KA Mardal, ... Journal of neural engineering 16 (2), 026030, 2019 | 34 | 2019 |
Corrected four-sphere head model for EEG signals S Næss, C Chintaluri, TV Ness, AM Dale, GT Einevoll, DK Wójcik Frontiers in human neuroscience 11, 490, 2017 | 32 | 2017 |
Alterations in schizophrenia-associated genes can lead to increased power in delta oscillations T Mäki-Marttunen, F Krull, F Bettella, E Hagen, S Næss, TV Ness, ... Cerebral Cortex 29 (2), 875-891, 2019 | 31 | 2019 |
h-Type membrane current shapes the local field potential from populations of pyramidal neurons TV Ness, MWH Remme, GT Einevoll Journal of Neuroscience 38 (26), 6011-6024, 2018 | 31 | 2018 |
Biophysical psychiatry—how computational neuroscience can help to understand the complex mechanisms of mental disorders T Mäki-Marttunen, T Kaufmann, T Elvsåshagen, A Devor, S Djurovic, ... Frontiers in psychiatry 10, 534, 2019 | 29 | 2019 |
Neural timing of stimulus events with microsecond precision J Luo, S Macias, TV Ness, GT Einevoll, K Zhang, CF Moss PLoS biology 16 (10), e2006422, 2018 | 24 | 2018 |
Estimation of neural network model parameters from local field potentials (LFPs) JEW Skaar, AJ Stasik, E Hagen, TV Ness, GT Einevoll PLoS computational biology 16 (3), e1007725, 2020 | 22 | 2020 |
Computation of the electroencephalogram (EEG) from network models of point neurons P Martínez-Cañada, TV Ness, GT Einevoll, T Fellin, S Panzeri PLOS Computational Biology 17 (4), e1008893, 2021 | 16 | 2021 |
A deep learning approach for the classification of neuronal cell types AP Buccino, TV Ness, GT Einevoll, G Cauwenberghs, PD Häfliger 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 16 | 2018 |
Report from 1st INCF workshop on validation of analysis methods M Denker, G Einevoll, F Franke, S Grün, E Hagen, J Kerr, M Nawrot, ... ResearchF1000, 2012 | 16 | 2012 |
Localizing neuronal somata from multi-electrode array in-vivo recordings using deep learning AP Buccino, TV Ness, GT Einevoll, G Cauwenberghs, PD Häfliger 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 12 | 2017 |