System and Method for Geometrodynamic Neuro-State Mapping via a Mobile Peripheral Device
Abstract A system for non-invasively mapping a subject's neuro-cognitive state is disclosed. The system comprises a peripheral device configured for physical and data communication with a host mobile computing device (e.g., a smartphone). The peripheral device includes an array of novel neuro-magnetic sensors fabricated from metamaterials designed according to principles of geometrodynamics. An onboard processing unit executes a geometric inference algorithm to process sensor data, which represents subtle magnetic fluctuations associated with neural activity. This algorithm maps the processed data as a state vector trajectory onto a high-dimensional, dynamic geometric structure, termed the General Reality Manifold (GRM). The host mobile device provides a user interface for visualizing and interacting with the GRM, thereby offering an unprecedented, high-fidelity representation of the subject's holistic cognitive, interoceptive, and phenomenal state for applications in digital wellness, cognitive enhancement, and neuro-diagnostics.
Institutions
- Istanbul Medipol University (TR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-11
- DOI
- https://doi.org/10.5281/zenodo.17317803
- Primary Topic
- Solar Radiation and Photovoltaics
- Type
- article
- Field-Weighted Citation Impact
- 0.00