Optimization algorithm for visual cortex stimulation

Abstract

This master thesis investigates the potential of vector field stimulation as an innovative technique for enhancing visual cortex stimulation [1]. An algorithm was designed and implemented to evaluate this concept, utilizing COMSOL simulations to model the generated electric fields. The algorithm was validated using Green functions, which serve as analytical approximations to the Poisson equation solved in COMSOL. The interior point method was employed in the algorithm to minimize visual error [2], a concept introduced in the literature and adjusted to our problem. Results indicate that vector field stimulation improves targeted stimulation precision noticeably compared to traditional bipolar stimulation methods. Additionally, it was observed that incorporating the minimization of input current alongside visual error further enhanced the algorithm’s performance. Despite challenges such as numerical errors and the algorithm getting trapped in local minima, the findings highlight the need for future research to improve microstimulation techniques. This report emphasises the promising potential of vector field stimulation and the supporting algorithm in improving visual cortex stimulation.