Peripheral Nerve Models
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.
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