Investigation of visual information transmission by retinal prosthesis

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Evaluation of the cortical response evoked by retinal electrical stimulation is important to understand the information by prosthetic input to brain. However, previous studies analyzed cortical response mainly with field response or multi-unit response in relation to the visual topological map. In this study, electrophysiological response to retinal stimulation was recorded from the cat cerebral cortex and analyzed with mathematical methods. As the results, we were able to predict the stimulating retinal electrode from electrocorticogram dataset evoked by retinal stimulation with machine learning method. The accuracy of prediction may be improved by refinement of dataset preparation and increase of training dataset, although it was not so remarkable at this moment. This accuracy of prediction may be useful to evaluate electrodes and stimulating parameters of retinal prosthesis.