PyPNS: Multiscale Simulation of a Peripheral Nerve in Python (Lubba et al 2018)

" ... 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]; Le Guen, Yann


Lubba CH et al. (2019). PyPNS: Multiscale Simulation of a Peripheral Nerve in Python. Neuroinformatics. 17 [PubMed]

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