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

Synonyms

Definition

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

Keywords

Functional Electrical Stimulation Volume Conductor Membrane Voltage Axonal Membrane Cable Equation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. Awiszus F (1990) Effects of paranodal potassium permeability on repetitive activity of mammalian myelinated nerve fiber models. Biol Cybern 64:69–76PubMedCrossRefGoogle Scholar
  2. Blight AR (1985) Computer simulation of action potentials and afterpotentials in mammalian myelinated axons: the case for a lower resistance myelin sheath. Neuroscience 15(1):13–31PubMedCrossRefGoogle Scholar
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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
  3. Wilfrid Rall. Core Conductor Theory and Cable Properties of Neurons. Compr Physiol 2011, Supplement 1: Handbook of Physiology, The Nervous System, Cellular Biology of Neurons: 39-97. First published in print 1977. doi:10.1002/cphy.cp010103Google Scholar

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