" ... To reduce experimentation load and allow for a faster, more detailed analysis of peripheral nerve stimulation and recording, computational models incorporating experimental insights will be of great help. We present a peripheral nerve simulator that combines biophysical axon models and numerically solved and idealised extracellular space models in one environment. We modelled the extracellular space as a three-dimensional resistive continuum governed by the electro-quasistatic approximation of the Maxwell equations. ..."
Model Type: Axon; Extracellular
Cell Type(s): Myelinated neuron
Currents: I Potassium; I Na,t
Model Concept(s): Action Potentials; Epilepsy; Activity Patterns
Simulation Environment: Python (web link to model); NEURON (web link to model)
Implementer(s): Lubba, Carl Henning [c.lubba15 at imperial.ac.uk]; Le Guen, Yann
References:
Lubba CH et al. (2019). PyPNS: Multiscale Simulation of a Peripheral Nerve in Python. Neuroinformatics. 17 [PubMed]