Gaute Einevoll
Affiliations: | UMB Aas, Norway |
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| Verhellen J, Beshkov K, Amundsen S, et al. (2024) Multitask learning of a biophysically-detailed neuron model. Plos Computational Biology. 20: e1011728 |
| Rimehaug AE, Dale AM, Arkhipov A, et al. (2024) Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis. Biorxiv : the Preprint Server For Biology |
| Skaar JW, Haug N, Stasik AJ, et al. (2023) Metamodelling of a two-population spiking neural network. Plos Computational Biology. 19: e1011625 |
| Ye Z, Shelton AM, Shaker JR, et al. (2023) Ultra-high density electrodes improve detection, yield, and cell type specificity of brain recordings. Biorxiv : the Preprint Server For Biology |
| Rimehaug AE, Stasik AJ, Hagen E, et al. (2023) Uncovering circuit mechanisms of current sinks and sources with biophysical simulations of primary visual cortex. Elife. 12 |
| Hagen E, Magnusson SH, Ness TV, et al. (2022) Brain signal predictions from multi-scale networks using a linearized framework. Plos Computational Biology. 18: e1010353 |
| Ness TV, Halnes G, Næss S, et al. (2022) Computing Extracellular Electric Potentials from Neuronal Simulations. Advances in Experimental Medicine and Biology. 1359: 179-199 |
| Sætra MJ, Einevoll GT, Halnes G. (2021) An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain. Plos Computational Biology. 17: e1008143 |
| Martínez-Cañada P, Ness TV, Einevoll GT, et al. (2021) Computation of the electroencephalogram (EEG) from network models of point neurons. Plos Computational Biology. 17: e1008893 |
| Næss S, Halnes G, Hagen E, et al. (2020) Biophysically detailed forward modeling of the neural origin of EEG and MEG signals. Neuroimage. 117467 |