Developed and integrated a Predictive Coding Visual Hierarchy Model for fMRI data within the brain-score/vision repository, enabling hierarchical analysis of visual processing in neuroimaging research. This work involved creating a new Python module that extends Brain-Score with hierarchical representational similarity analysis (RSA) capabilities, specifically tailored for the THINGS-fMRI dataset. Leveraging skills in data analysis, deep learning, and neural networks, the developer updated the core API to expose the new model and established a foundation for more accurate and scalable neuroimaging workflows. The integration supports researchers seeking deeper insights into visual hierarchies using machine learning approaches in neuroscience.