System and Method for Geometric Inference of Neurophenomenological States and Somatic Feedback
Year: 2025
Type: article
Abstract: The present disclosure relates to a system and method for inferring and modulating the neurophenomenological state of a user. The invention overcomes fundamental limitations of prior art in brain-computer interfaces (BCIs), namely the "semantic gap" that precludes a holistic understanding of a user's subjective state.1 The disclosed system introduces a novel paradigm of "geometric inference of consciousness," replacing conventional signal processing with the construction and analysis of a high-dimensional geometric manifold representative of the user's state.1 The system comprises a non-invasive neuro-magnetic sensor apparatus for acquiring neural data, a processing unit configured to construct a General Reality Manifold (GRM) as a dynamic model of the user's cognitive and affective state, and a haptic feedback interface for conveying somatic information. The principal function involves calculating a state trajectory as a geodesic path on said manifold and translating its intrinsic geometric properties into meaningful, intuitive neurohaptic feedback, thereby establishing a closed-loop system for the direct perception and modulation of a user's internal state
Author: Yıldırım, Emirhan
Institution: Istanbul Medipol University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7083020827
FWCI:
Cites:
Cited by:
Related to: