Journal article
Prediction and control of neural responses to pulsatile electrical stimulation
LJ Campbell, DJ Sly, SJ O'Leary
Journal of Neural Engineering | IOP PUBLISHING LTD | Published : 2012
Abstract
This paper aims to predict and control the probability of firing of a neuron in response to pulsatile electrical stimulation of the type delivered by neural prostheses such as the cochlear implant, bionic eye or in deep brain stimulation. Using the cochlear implant as a model, we developed an efficient computational model that predicts the responses of auditory nerve fibers to electrical stimulation and evaluated the model's accuracy by comparing the model output with pooled responses from a group of guinea pig auditory nerve fibers. It was found that the model accurately predicted the changes in neural firing probability over time to constant and variable amplitude electrical pulse trains, ..
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Funding Acknowledgements
This work was inspired by discussions with Dr Laurie Cohen. The authors would like to thank Ms Ricki Minter and Mr Leon Heffer for assistance in data collection, Mr Rodney Millard, Mr Frank Nielsen, Mr John Heasman and Professor Peter Seligman for engineering assistance, Dr Jin Xu and Ms Helen Feng for electrode manufacture, Dr Sue Peirce and Ms Elisa Borg for veterinary advice and animal husbandry assistance, Ms Ricki Minter and Professor Ian Bruce for proofreading and advice with revisions and editing and Mr Ian Jakovenko for advice regarding the mathematics. This work was supported by The Garnett Passe and Rodney Williams Memorial Foundation, The Bionic Ear Institute and the Department of Otolaryngology, The University of Melbourne.