1 6 1. Introduction approaches are difficult to compare due to their large variety and it is likely that many of these strategies provide benefits in a very limited context and subset of tasks. Finding a more unified and automated optimization framework for context-adaptive image processing is one of the crucial challenges in the field. The studies inChapters 3to5 discuss proof-of-principle experiments with a more automated simulation framework with virtual patients for the optimization of prosthetic vision. Thirdly, one of the inherent pitfalls of simulation frameworks is that -by definitionthey are a stylized, conceptual model of reality. In the process of shifting the focus towards simulation frameworks, it is easy to overlook the clinical reality. Many of the biological insights from brain stimulation studies are not reflected in the existing simulated cortical prosthetic vision research. While most SPV studies in the current dissertation use idealized phosphene simulations, the studies presented inChapters 5 and6 address several biologically relevant aspects of cortical stimulation to improve the realism and translational value of simulation research.
RkJQdWJsaXNoZXIy MTk4NDMw