M. van Gerven

Gaze-contingent processing improves mobility performance and visual orientation in simulated head-steered prosthetic vision

This study evaluates gaze-contingent image processing in simulated prosthetic vision, finding it improves mobility and orientation compared to gaze-locked and gaze-ignored conditions.

Optimal Control of Neural Systems

This paper develops a data-driven framework for controlling neural systems using optimal control theory and deep learning, demonstrating its ability to restore function in simulated neural systems under perturbation.

Optimization of Neuroprosthetic Vision via End-to-end Deep Reinforcement Learning

This paper uses deep reinforcement learning to optimize stimulation patterns for neuroprosthetic vision, showing improved performance compared to fixed feature extractors in complex environments.