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Genetic Algorithm Reveals Energy-Efficient Waveforms for Neural Stimulation

Energy consumption is an important consideration for battery-powered implantable stimulators. We used a genetic algorithm (GA) that mimics biological evolution to determine the energy-optimal waveform shape for neural stimulation. The GA was coupled to NEURON using a model of extracellular stimulati...

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Detalhes bibliográficos
Main Authors: Wongsarnpigoon, Amorn, Grill, Warren M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3664835/
https://ncbi.nlm.nih.gov/pubmed/19964233
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/IEMBS.2009.5333722
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