# Aslak Tveito

## ProfessorSimula Fellow

- Department
- Computational Physiology
- Organisation
- Simula Research Laboratory
- Research Interests
- Computational physiology Biophysics Scientific computing

- aslak@simula.no

## Publications

### 2024

#### Journal Articles

K. H. Jæger, V. Charwat, S. Wall, K. Healy and A. Tveito

Do calcium channel blockers applied to cardiomyocytes cause increased channel expression resulting in reduced efficacy?

npj Systems Biology and Applications

### 2023

#### Journal Articles

K. H. Jæger and A. Tveito

The simplified Kirchhoff network model (SKNM): a cell‐based reaction–diffusion model of excitable tissue

Scientific Reports

K. H. Jæger and A. Tveito

Efficient, cell-based simulations of cardiac electrophysiology; The Kirchhoff Network Model (KNM)

npj Systems Biology and Applications

K. H. Jæger, E. Ivanovic, J. P. Kucera and A. Tveito

Nano-scale solution of the Poisson-Nernst-Planck (PNP) equations in a fraction of two neighboring cells reveals the magnitude of intercellular electrochemical waves

PLoS Computational Biology

#### Books

K. H. Jæger and A. Tveito

Differential Equations for Studies in Computational Electrophysiology

Simula SpringerBriefs on Computing

### 2022

#### Journal Articles

K. E. Healy, A. Tveito, S. Wall, N. Huebsch, A. G. Edwards, K. H. Jæger, H. Finsberg, B. A. Siemons, B. Charrez and V. Charwat

Validating the Arrhythmogenic Potential of High-, Intermediate-, and Low-Risk Drugs in a Human-Induced Pluripotent Stem Cell-Derived Cardiac Microphysiological System

ACS Pharmacology and Translational Sciences

V. Charwat, B. Charrez, B. A. Siemons, H. Finsberg, K. H. Jæger, A. G. Edwards, N. Huebsch, S. Wall, E. Miller, A. Tveito and K. E. Healy

Validating the Arrhythmogenic Potential of High-, Intermediate-, and Low-Risk Drugs in a Human-Induced Pluripotent Stem Cell-Derived Cardiac Microphysiological System

ACS Pharmacology & Translational Science

N. Huebsch, B. Charrez, G. Neiman, B. Siemons, S. C. Boggess, S. Wall, V. Charwat, K. H. Jæger, D. Cleres, Å. Telle, F. T. Lee-Montiel, N. C. Jeffreys, N. Deveshwar, A. G. Edwards, J. Serrano, M. Snuderl, A. Stahl, A. Tveito, E. W. Miller and K. E. Healy

Metabolically driven maturation of human-induced-pluripotent-stem-cell-derived cardiac microtissues on microfluidic chips

Nature Biomedical Engineering

K. H. Jæger, A. G. Edwards, W. R. Giles and A. Tveito

Arrhythmogenic influence of mutations in a myocyte‑based computational model of the pulmonary vein sleeve

Nature Scientific Reports

K. H. Jæger and A. Tveito

Deriving the Bidomain Model of Cardiac Electrophysiology From a Cell-Based Model; Properties and Comparisons

Frontiers in Physiology

### 2021

#### Journal Articles

K. H. Jæger, A. G. Edwards, W. R. Giles and A. Tveito

From Millimeters to Micrometers; Re-introducing Myocytes in Models of Cardiac Electrophysiology

Frontiers in Physiology

K. H. Jæger, A. G. Edwards, W. R. Giles and A. Tveito

A computational method for identifying an optimal combination of existing drugs to repair the action potentials of SQT1 ventricular myocytes

PLoS Computational Biology

K. H. Jæger, V. Charwat, S. Wall, K. E. Healy and A. Tveito

Identifying drug response by combining measurements of the membrane potential, the cytosolic calcium concentration, and the extracellular potential in microphysiological systems

Frontiers in Pharmacology

K. H. Jæger, S. Wall and A. Tveito

Computational prediction of drug response in short QT syndrome type 1 based on measurements of compound effect in stem cell-derived cardiomyocytes

PLoS Computational Biology

K. H. Jæger, K. G. Hustad, X. Cai and A. Tveito

Efficient numerical solution of the EMI model representing the extracellular space (E), cell membrane (M) and intracellular space (I) of a collection of cardiac cells

Frontiers in Physics

#### Book Chapters

Å. Telle, S. Wall and J. Sundnes

Modeling Cardiac Mechanics on a Sub-Cellular Scale

Modeling Excitable Tissue: The EMI Framework

M. Kuchta and K. Mardal

Iterative Solvers for EMI Models

Modeling Excitable Tissue: The EMI Framework

A. P. Buccino, M. Kuchta, J. Schreiner and K. Mardal

Improving Neural Simulations with the EMI Model

Modeling Excitable Tissue: The EMI Framework

M. Kuchta, K. Mardal and M. E. Rognes

Solving the EMI Equations using Finite Element Methods

Modeling Excitable Tissue: The EMI Framework

K. H. Jæger, K. G. Hustad, X. Cai and A. Tveito

Operator Splitting and Finite Difference Schemes for Solving the EMI Model

Modeling Excitable Tissue: The EMI Framework

K. H. Jæger and A. Tveito

Derivation of a Cell-Based Mathematical Model of Excitable Cells

Modeling Excitable Tissue: The EMI Framework

A. J. Ellingsrud, C. Daversin-Catty and M. E. Rognes

A cell-based model for ionic electrodiffusion in excitable tissue

Modeling Excitable Tissue: The EMI Framework

#### Edited books

Modeling Excitable Tissue: The EMI Framework

### 2020

#### Journal Articles

A. Tveito, K. H. Jæger, M. Maleckar, W. R. Giles and S. Wall

Computational translation of drug effects from animal experiments to human ventricular myocytes

Nature Scientific Reports

K. H. Jæger, V. Charwat, B. Charrez, H. Finsberg, M. Maleckar, S. Wall, K. E. Healy and A. Tveito

Improved computational identification of drug response using optical measurements of human stem cell derived cardiomyocytes in microphysiological systems

Frontiers in Pharmacology

### 2019

#### Journal Articles

A. P. Buccino, M. Kuchta, K. H. Jæger, T. V. Ness, P. Berthet, K. Mardal, G. Cauwenberghs and A. Tveito

How does the presence of neural probes affect extracellular potentials?

Journal of Neural Engineering

K. H. Jæger, A. G. Edwards, A. D. McCulloch and A. Tveito

Properties of cardiac conduction in a cell-based computational model

PLoS Computational Biology

K. H. Jæger, S. Wall and A. Tveito

Detecting undetectables: Can conductances of action potential models be changed without appreciable change in the transmembrane potential?

Chaos

#### Posters

Å. Telle, B. Charrez, K. E. Healy, A. Tveito and S. Wall

A numerical model of mechanical properties of cardiac tissue in heart-on-a-chip devices

#### Talks, contributed

Å. Telle, B. Charrez, K. E. Healy, A. Tveito and S. Wall

A Numerical Model of Heart -on -a-Chip Systems – A Tool for Cardiotoxicity Screening

Melbourne, Australia

Å. Telle, B. Charrez, K. E. Healy, A. Tveito and S. Wall

Finite element modeling of cardiac tissue in heart-on-a-chip systems

Washington DC, USA

### 2018

#### Journal Articles

N. Huebsch, B. Charrez, B. Siemons, S. C. Boggess, S. Wall, V. Charwat, K. Jaeger, F. L. T. Montiel, N. C. Jeffreys, N. Deveshwar, A. G. Edwards, J. Serrano, M. Snuderl, A. Stahl, A. Tveito, E. W. Miller and K. E. Healy

Metabolically-Driven Maturation of hiPSC-Cell Derived Heart-on-a-Chip

{bioRxiv

A. Tveito, M. Maleckar and G. T. Lines

Computing Optimal Properties of Drugs Using Mathematical Models of Single Channel Dynamics

Computational and Mathematical Biophysics

A. Tveito, K. H. Jæger, N. Huebsch, B. Charrez, A. G. Edwards, S. Wall and K. E. Healy

Inversion and computational maturation of drug response using human stem cell derived cardiomyocytes in microphysiological systems

Nature Scientific Reports

#### Posters

S. Wall, K. H. Jæger, N. Huebsch, B. Charrez, K. Healy and A. Tveito

In Silico - Augmented Cardiac Microphysiological Systems for Evaluating Cardiac Drug Effects

S. Wall, K. H. Jæger, N. Huebsch, B. Charrez, K. Healy and A. Tveito

In Silico - Augmented Cardiac Microphysiological Systems for Evaluating Cardiac Drug Effects

#### Talks, contributed

S. Wall, A. Tveito, K. H. Jæger, A. G. Edwards, K. Healy, N. Huebsch and B. Charrez

In Silico Modeling of Cardiac Microphysiological Systems for Evaluating Drug Side Effects

Heart By Numbers Conference, Berlin, Germany

### 2017

#### Journal Articles

T. Mäki-Marttunen, G. T. Lines, A. G. Edwards, A. Tveito, A. M. Dale, G. T. Einevoll and O. A. Andreassen

Pleiotropic effects of schizophrenia-associated genetic variants in neuron firing and cardiac pacemaking revealed by computational modeling

Translational Psychiatry

A. Tveito, K. H. Jæger, M. Kuchta, K. Mardal and M. E. Rognes

A cell-based framework for numerical modelling of electrical conduction in cardiac tissue

Frontiers in Physics, Computational Physics

A. Tveito, K. H. Jæger, G. T. Lines, Ł. Paszkowski, J. Sundnes, A. G. Edwards, T. Mäki-Marttunen, G. Halnes and G. T. Einevoll

An Evaluation of the Accuracy of Classical Models for Computing the Membrane Potential and Extracellular Potential for Neurons

Frontiers in Computational Neuroscience

### 2016

#### Journal Articles

A. Tveito, G. T. Lines, A. G. Edwards and A. D. McCulloch

Computing rates of Markov models of voltage-gated ion channels by inverting partial differential equations governing the probability density functions of the conducting and non-conducting states

Mathematical Biosciences

#### Books

A. Tveito and G. T. Lines

Computing characterizations of drugs for ion channels and receptors using Markov models

### 2015

#### Book Chapters

A. Tveito, H. P. Langtangen and R. Winther

Computational Partial Differential Equations

Encyclopedia of Applied and Computational Mathematics

H. P. Langtangen, U. Rüde and A. Tveito

Scientific Computing

Encyclopedia of Applied and Computational Mathematics

#### Edited books

Encyclopedia of Applied and Computational Mathematics

Encyclopedia of Applied and Computational Mathematics

#### Posters

J. Sundnes, S. Wall, V. Timmermann and A. Tveito

Mechano-electric feedback as a source of ectopic activity

Gordon Research Conference on Arrhythmia Mechanisms, Lucca, Italy

### 2005

#### Technical reports

B. F. Nielsen, T. S. Ruud, G. T. Lines and A. Tveito

Optimal Monodomain Approximations of the Bidomain Equations

K. Mardal, B. F. Nielsen, X. Cai and A. Tveito

An Order Optimal Solver for the Discretized Bidomain Equations

### 1991

#### Technical reports

E. Arge, M. Dæhlen and A. Tveito

Computing Smooth Box Spline Approximations to Regularly Scattered Data