An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons. - Aslak Tveito; Karoline H. Jæger; Glenn T. Lines; Lukasz Paszkowski; Joakim Sundnes; Andrew G. Edwards; Tuomo Mäki-Marttunen; Geir Halnes; Gaute T. Einevoll (Frontiers Comput. Neurosci., 2017)

Properties of cardiac conduction in a cell-based computational model. - Karoline H. Jæger; Andrew G. Edwards; Andrew D. McCulloch; Aslak Tveito (PLoS Comput. Biol., 2019)

A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes. - Karoline Horgmo Jæger; Andrew G. Edwards; Wayne R. Giles; Aslak Tveito (PLoS Comput. Biol., 2021)

Computational prediction of drug response in short QT syndrome type 1 based on measurements of compound effect in stem cell-derived cardiomyocytes. - Karoline Horgmo Jæger; Samuel Wall; Aslak Tveito (PLoS Comput. Biol., 2021)

Differential Equations for Studies in Computational Electrophysiology - Karoline Horgmo Jæger; Aslak Tveito (Springer, 2023)

Nano-scale solution of the Poisson-Nernst-Planck (PNP) equations in a fraction of two neighboring cells reveals the magnitude of intercellular electrochemical waves. - Karoline Horgmo Jæger; Ena Ivanovic; Jan P. Kucera; Aslak Tveito (PLoS Comput. Biol., 2023)