A Cortical Integrate-and-Fire Neural Network Model for Blind Decoding of Visual Prosthetic Stimulation
Calvin D Eiber, John W Morley, Nigel H Lovell, Gregg J Suaning
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) | IEEE | Published : 2014
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.