This project focuses on validating an existing computational framework—originally developed for neuropathic pain—on EEG data from tinnitus patients to detect abnormal brain connectivity and simulate targeted neuromodulation. It will explore optimization strategies and hardware acceleration (e.g., GPU or FPGA) to improve the framework’s efficiency for real-time or clinical applications. The goal is to enhance the clinical utility of virtual brain models for network-level neuromodulation.
IMPORTANT: When applying for a thesis, always attach your CV, course list and course grades to your application so as to ensure best fit with the topic at hand!