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| Sætra MJ, Einevoll GT, Halnes G. (2020) An electrodiffusive, ion conserving Pinsky-Rinzel model with homeostatic mechanisms. Plos Computational Biology. 16: e1007661 |
| Ellingsrud AJ, Solbrå A, Einevoll GT, et al. (2020) Finite Element Simulation of Ionic Electrodiffusion in Cellular Geometries. Frontiers in Neuroinformatics. 14: 11 |
| Mäki-Marttunen T, Kaufmann T, Elvsåshagen T, et al. (2019) Biophysical Psychiatry-How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders. Frontiers in Psychiatry. 10: 534 |
| Halnes G, Tennøe S, Haug TM, et al. (2019) A computational model for gonadotropin releasing cells in the teleost fish medaka. Plos Computational Biology. 15: e1006662 |
| Solbrå A, Bergersen AW, van den Brink J, et al. (2018) A Kirchhoff-Nernst-Planck framework for modeling large scale extracellular electrodiffusion surrounding morphologically detailed neurons. Plos Computational Biology. 14: e1006510 |
| Tennøe S, Halnes G, Einevoll GT. (2018) Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience. Frontiers in Neuroinformatics. 12: 49 |
| Mobarhan MH, Halnes G, Martínez-Cañada P, et al. (2018) Firing-rate based network modeling of the dLGN circuit: Effects of cortical feedback on spatiotemporal response properties of relay cells. Plos Computational Biology. 14: e1006156 |
| Mäki-Marttunen T, Halnes G, Devor A, et al. (2017) A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells. Journal of Neuroscience Methods |
| Tveito A, Jæger KH, Lines GT, et al. (2017) An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons. Frontiers in Computational Neuroscience. 11: 27 |
| Halnes G, Mäki-Marttunen T, Keller D, et al. (2016) Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue. Plos Computational Biology. 12: e1005193 |