@inproceedings{12922fc55a254f28a9cad11adff2e9d8,
title = "A cortical integrate-and-fire neural network model for blind decoding of visual prosthetic stimulation",
abstract = "We present a computational model of the optic pathway which has been adapted to simulate cortical responses to visual-prosthetic stimulation. This model reproduces the statistically observed distributions of spikes for cortical recordings of sham and maximum-intensity stimuli, while simultaneously generating cellular receptive fields consistent with those observed using traditional visual neuroscience methods. By inverting this model to generate candidate phosphenes which could generate the responses observed to novel stimulation strategies, we hope to aid the development of said strategies in-vivo before being deployed in clinical settings.",
keywords = "blind decoding, computer simulation, neurophysiology, prosthesis, visual perception",
author = "Eiber, {Calvin D.} and Morley, {John W.} and Lovell, {Nigel H.} and Suaning, {Gregg J.}",
year = "2014",
doi = "10.1109/EMBC.2014.6943938",
language = "English",
publisher = "IEEE",
pages = "1715--1718",
booktitle = "Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2014): Discovering, Innovating, and Engineering Future Biomedicine, 26-30 August 2014, Chicago, Illinois",
note = "IEEE Engineering in Medicine and Biology Society. Annual International Conference ; Conference date: 11-07-2022",
}