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As indicated above, non-modelling approaches can be usefully combined with modelling approaches to improve the model equations.
* **neuronModels.py:** Neuron model equations and parameters.
J.F.R. derived the model equations and carried out the calculations.
The model equations are solved using an implicit finite difference method and a Newton Raphson algorithm53.
Ten physiological state model equations resulted.
The coupled model equations were solved iteratively.
MLode.m This ODE m-file implements the model equations (Eqs. 1-3).
Initially, the model equations are derived in vector-matrix form to facilitate fast and simple computation.
The model equations were solved numerically.
These generators are usually constructed considering all the model equations.
Furthermore, we consider widely studied scalar model equations.
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