System and Method for Geometrodynamic Inference of Neurophenomenal States via Manifold Resonance Tomography

Abstract A system and method for the non-invasive mapping of the high-dimensional geometric structure of neural activity are disclosed. The invention provides a means to overcome the fundamental limitations of prior art neuroimaging technologies, thereby bridging the "semantic gap" between measured neural signals and the subjective, phenomenal states they represent. The system comprises an array of novel metamaterial sensors, termed Geometrodynamic Transducers, configured as an add-on module for a conventional magnetic resonance imaging (MRI) apparatus. A processing unit operatively coupled to the sensor array is configured to execute a geometric inference algorithm. This algorithm processes the acquired sensor data to compute a time-resolved trajectory of the subject's neurophenomenal state within a predefined, high-dimensional geometric state-space, the General Reality Manifold (GRM). The invention enables the direct measurement and reconstruction of geometric correlates of neurophenomenal states, offering unprecedented insight into the structure of consciousness and providing a powerful new tool for clinical diagnostics, research, and brain-computer interfacing