Michael Clerx
Michael Clerx
#206 Preferred method is via CellML, so this is mostly an archive (until we change our minds?)
See #380 - [x] Work out analytical single-step sensitivities - [ ] Extend to multi-step - [ ] Add equations etc. to notebook - [ ] Write as test for...
Closes #410
None of which provided any speed-ups. It might be interesting at some point to 1. Rewrite the generated OpenCL code to separate the generated model and the static simulator code...
This code was intended to export myokit models to the [Ariadne](https://github.com/ariadne-cps/ariadne) framework for hybrid systems analysis. Not sure it was ever tested, and almost certainly out of date given recent...
Methods to isolate slow-to-evaluate expressions and replace them with spline approximations, as used in: _Reducing run-times of excitable cell models by replacing computationally expensive functions with splines._ Michael Clerx, Pieter...
As used by NEURON https://www.neuron.yale.edu/neuron/static/py_doc/modelspec/programmatic/mechanisms/nmodl.html https://www.neuron.yale.edu/neuron/static/py_doc/modelspec/programmatic/mechanisms/nmodl2.html
See #411