Model-based analysis and design of waveforms for efficient neural stimulation.

Published

Journal Article (Review)

The design space for electrical stimulation of the nervous system is extremely large, and because the response to stimulation is highly nonlinear, the selection of stimulation parameters to achieve a desired response is a challenging problem. Computational models of the response of neurons to extracellular stimulation allow analysis of the effects of stimulation parameters on neural excitation and provide an approach to select or design optimal parameters of stimulation. Here, I review the use of computational models to understand the effects of stimulation waveform on the energy efficiency of neural excitation and to design novel stimulation waveforms to increase the efficiency of neural stimulation.

Full Text

Duke Authors

Cited Authors

  • Grill, WM

Published Date

  • January 2015

Published In

Volume / Issue

  • 222 /

Start / End Page

  • 147 - 162

PubMed ID

  • 26541380

Pubmed Central ID

  • 26541380

Electronic International Standard Serial Number (EISSN)

  • 1875-7855

International Standard Serial Number (ISSN)

  • 0079-6123

Digital Object Identifier (DOI)

  • 10.1016/bs.pbr.2015.07.031

Language

  • eng