Journal article

A Simple and Accurate Model to Predict Responses to Multi-electrode Stimulation in the Retina

Matias I Maturana, Nicholas V Apollo, Alex E Hadjinicolaou, David J Garrett, Shaun L Cloherty, Tatiana Kameneva, David B Grayden, Michael R Ibbotson, Hamish Meffin

PLOS COMPUTATIONAL BIOLOGY | PUBLIC LIBRARY SCIENCE | Published : 2016

Abstract

Implantable electrode arrays are widely used in therapeutic stimulation of the nervous system (e.g. cochlear, retinal, and cortical implants). Currently, most neural prostheses use serial stimulation (i.e. one electrode at a time) despite this severely limiting the repertoire of stimuli that can be applied. Methods to reliably predict the outcome of multi-electrode stimulation have not been available. Here, we demonstrate that a linear-nonlinear model accurately predicts neural responses to arbitrary patterns of stimulation using in vitro recordings from single retinal ganglion cells (RGCs) stimulated with a subretinal multi-electrode array. In the model, the stimulus is projected onto a low..

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Related Projects (10)

Grants

Awarded by Centre of Excellence for Integrative Brain Function, Australian Research Council


Awarded by Discovery Early Career Researcher Award, Australian Research Council


Awarded by Discovery Project, Australian Research Council


Funding Acknowledgements

This work was funded by: Centre of Excellence for Integrative Brain Function, Australian Research Council, CE140100007, http://www.arc.gov.au/; Discovery Early Career Researcher Award, Australian Research Council, DE120102210, http://www.arc.gov.au/; and Discovery Project, Australian Research Council, DP140104533, http://www.arc.gov.au/. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.