Model-based analysis and design of waveforms for efficient neural stimulation.
Journal Article (Review;Journal Article)
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
- PMC4772858
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