Point-SPV: End-to-End Enhancement of Object Recognition in Simulated Prosthetic Vision using Synthetic Viewing Points
This repository contains the code for the deep learning model and behavrioral data anaylsis from the manuscript "Point-SPV: End-to-End Enhancement of Object Recognition in Simulated Prosthetic Vision using Synthetic Viewing Points."
The repository for executing the behavioral gaze-contingent experiment:
https://github.com/LEO-UMCG/SPV-Gaze-Contingency
For citations please use the following publication:
Nejad, Ashkan, Burcu Küçükoǧlu, Jaap de Ruyter van Steveninck, Sandra Bedrossian, Joost Heutink, Gera A. de Haan, Frans W. Cornelissen, and Marcel van Gerven. "Point-SPV: end-to-end enhancement of object recognition in simulated prosthetic vision using synthetic viewing points." Frontiers in Human Neuroscience 19 (2025): 1549698. https://doi.org/10.3389/fnhum.2025.1549698
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 955590.
