A System and Method for Geometric State Inference and Somatic Feedback

Abstract The present invention relates generally to the field of neurotechnology and, more specifically, to a system and method for inferring and modulating the cognitive-phenomenal state of a user. The system comprises a sensor apparatus for detecting neuro-physiological signals, a processing unit, and a somatic feedback device. The method involves the processing unit executing instructions to: (a) receive sensor data representative of a user's neuro-physiological activity; (b) generate a high-dimensional, dynamic geometric manifold, hereinafter termed a General Reality Manifold (GRM), representing the user's holistic cognitive, interoceptive, and phenomenal state; (c) analyze one or more geometric properties of said GRM, including but not limited to its local curvature, the trajectory of a state vector thereupon, and its topological features; and (d) generate and transmit control signals to the somatic feedback device based on said analysis. The control signals effectuate a somatic stimulus that is a non-arbitrary, geometric transformation of the analyzed properties of the GRM, thereby enabling the user to perceive and navigate their internal state-space in an intuitive, embodied manner.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-13
DOI
https://doi.org/10.5281/zenodo.17341451
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
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article

A System and Method for Geometric State Inference and Somatic Feedback

Zenodo (CERN European Organization for Nuclear Research)
Spatial Cognition and Navigation
article

A System and Method for Geometric State Inference and Somatic Feedback

article en

Abstract

Abstract The present invention relates generally to the field of neurotechnology and, more specifically, to a system and method for inferring and modulating the cognitive-phenomenal state of a user. The system comprises a sensor apparatus for detecting neuro-physiological signals, a processing unit, and a somatic feedback device. The method involves the processing unit executing instructions to: (a) receive sensor data representative of a user's neuro-physiological activity; (b) generate a high-dimensional, dynamic geometric manifold, hereinafter termed a General Reality Manifold (GRM), representing the user's holistic cognitive, interoceptive, and phenomenal state; (c) analyze one or more geometric properties of said GRM, including but not limited to its local curvature, the trajectory of a state vector thereupon, and its topological features; and (d) generate and transmit control signals to the somatic feedback device based on said analysis. The control signals effectuate a somatic stimulus that is a non-arbitrary, geometric transformation of the analyzed properties of the GRM, thereby enabling the user to perceive and navigate their internal state-space in an intuitive, embodied manner.

Zenodo (CERN European Organization for Nuclear Research)
Istanbul Medipol University (TR)
Openalex Percentile: Top 51%
Spatial Cognition and Navigation
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