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.

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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
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article

System and Method for Geometrodynamic Neuro-State Mapping via a Mobile Peripheral Device

Zenodo (CERN European Organization for Nuclear Research)
Solar Radiation and Photovoltaics
article

System and Method for Geometrodynamic Neuro-State Mapping via a Mobile Peripheral Device

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Istanbul Medipol University (TR)
Openalex Percentile: Top 24%
Solar Radiation and Photovoltaics
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