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


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Accession:246837
" ... 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. ..."
Reference:
1 . Lubba CH, Le Guen Y, Jarvis S, Jones NS, Cork SC, Eftekhar A, Schultz SR (2018) PyPNS: Multiscale Simulation of a Peripheral Nerve in Python. Neuroinformatics [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Axon; Extracellular;
Brain Region(s)/Organism:
Cell Type(s): Myelinated neuron;
Channel(s): I Potassium; I Na,t;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: Python (web link to model); NEURON (web link to model);
Model Concept(s): Action Potentials; Epilepsy; Activity Patterns;
Implementer(s): Lubba, Carl Henning [c.lubba15 at imperial.ac.uk]; Le Guen, Yann ;
Search NeuronDB for information about:  I Na,t; I Potassium;
(located via links below)
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