Encyclopedia of Computational Neuroscience

Living Edition
| Editors: Dieter Jaeger, Ranu Jung

Peripheral Nerve Models

Living reference work entry
DOI: https://doi.org/10.1007/978-1-4614-7320-6_213-3



Peripheral nerve models are computational models of one or more axons. Many models have been created. Variation in models typically pertains to the specific ionic currents and their conductances through the axon membrane. Another common variation pertains to the method used to model myelination. Typically, peripheral nerve models are nonlinear in nature and require solving systems of differential equations, although there are fast approximation techniques that can provide insight into the trends in axonal response to varied stimulation. In the neurosciences, peripheral nerve models are more typically used to study single neurons, whereas, in biomedical and neural engineering, peripheral nerve models are more typically used in large population models to study the global response to electrical nerve stimulation or for nerve recording, primarily for use in functional electrical stimulation (FES) neuroprosthetic or neuromodulation systems.

Detailed Description


Functional Electrical Stimulation Volume Conductor Membrane Voltage Axonal Membrane Cable Equation 
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Further Reading

  1. Halter JA, Clark JW (1991) A distributed-parameter model of the myelinated nerve fiber. J Theor Biol 148:345–382PubMedCrossRefGoogle Scholar
  2. Peterson EJ, Izad O, Tyler DJ (2011) Predicting myelinated axon activation using spatial characteristics of the extracellular field. J Neural Eng 8(4):046030PubMedCrossRefPubMedCentralGoogle Scholar
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Copyright information

© Springer Science Business Media New York (outside the USA) 2014

Authors and Affiliations

  1. 1.APT Center of ExcellenceLouis Stokes Cleveland Department of Veterans Affairs Medical Center (LSCDVAMC)ClevelandUSA
  2. 2.Department of Biomedical EngineeringCase Western Reserve UniversityClevelandUSA