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Category Archives: Numerics
Job Available: Statistical inference for mechanistic models
N.B. Applications for this position are now closed. We are offering a 3 year position as a research fellow in statistical inference for mechanistic models. This is offered at either Postdoc or Senior postdoc level (equivalent grade to Assistant Professor) … Continue reading
Posted in Action Potential Models, Drug action, Experimental Design, Ion Channel Models, Model Development, Numerics, Stats and Inference
Tagged Bayesian Inference, calibration, identifiability, inference, inverse problem, job, jobs, model complexity, model construction, model discrepancy, model selection, parameter fitting, validation
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Three potassium channel modelling papers
Just a quick note to tell you about our latest batch of papers in the “Heart By Numbers” special issue of Biophysical Journal which arose from a meeting in Berlin last year. They are all about IKr, the rapid-delayed rectifying … Continue reading
Job Available: Research Software Engineer
Edit: please note the deadline for applications has now passed. Here’s a great opportunity to join our team at the University of Nottingham on a 5 year Research Software Engineering (RSE) position: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/IS046219 The deadline for applications is 3rd March … Continue reading
Numerical errors from ODE solvers can mess up optimisation and inference very easily
(Subtitle: “when you’ve got a lot of data points!”) This post is for people interested in doing optimisation or inference with Differential Equation (DE) models. If you are a statistician, you might be used to treating model simulators as black … Continue reading
ODE solving for cardiac action potential models
Just a quick post to highlight a new paper by Jon Cooper, Ray Spiteri and me, which describes the use of Chaste and CellML to solve cardiac action potential model equations. The paper in Frontiers in Physiology is in a … Continue reading
Posted in Action Potential Models, Numerics, Tissue Simulations
Tagged Action potential, benchmark, CellML, ODE solving
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Initial conditions and steady states
Today I came across a good (or bad, depending on how you look at it) example of initial conditions / steady-states having a massive effect on model behaviour. I think it is generally a good idea to get a model … Continue reading