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
This is a preview of subscription content, log in via an institution to check access.
References
Awiszus F (1990) Effects of paranodal potassium permeability on repetitive activity of mammalian myelinated nerve fiber models. Biol Cybern 64:69–76
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):13–31
Fitzhugh R (1962) Computation of impulse initiation and salutatory conduction in a myelinated nerve fiber. Biophys J 2(1):11–21
Hodgkin AL, Huxley AF (1952) A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol 117:500–544
McIntyre CC, Richardson AG, Grill WM (2002) Modeling the excitability of mammalian nerve fibers: Influence of afterpotentials on the recovery cycle. J Neurophysiol 87:995–1006
Schiefer MA, Tyler DJ, Triolo RJ (2012) Probabilistic modeling of selective stimulation of the human sciatic nerve with a flat interface nerve electrode. J Comput Neurosci 33(1):179–190
Stephanova DI, Bostock H (1995) A distributed-parameter model of the myelinated human motor nerve fibre: temporal and spatial distributions of action potentials and ionic currents. Biol Cybern 73:275–280
Warman EN, Grill WM, Durand D (1992) Modeling the effects of electric fields on nerve fibers: determination of excitation thresholds. IEEE Trans Biomed Eng 39(12):1244–1254
Further Reading
Halter JA, Clark JW (1991) A distributed-parameter model of the myelinated nerve fiber. J Theor Biol 148:345–382
Peterson EJ, Izad O, Tyler DJ (2011) Predicting myelinated axon activation using spatial characteristics of the extracellular field. J Neural Eng 8(4):046030
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.cp010103
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science Business Media New York (outside the USA)
About this entry
Cite this entry
Schiefer, M. (2014). Peripheral Nerve Models. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_213-3
Download citation
DOI: https://doi.org/10.1007/978-1-4614-7320-6_213-3
Received:
Accepted:
Published:
Publisher Name: Springer, New York, NY
Online ISBN: 978-1-4614-7320-6
eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences