Methods and Systems for Identifying and Enhancing Quantum -Like Cognitive Processing in the Human Brain
OwnerDaniel Glenn Hannayinventor
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Abstract
A system and method for detecting and enhancing quantum-like cognitive processing in the human brain using neural imaging data analyzed by a machine learning model. The system classifies quantum coherence patterns from EEG, fMRI, or MEG inputs and applies adaptive neurostimulation to enhance cognitive states. Real-time feedback is used to reinforce high-coherence profiles. In certain embodiments, the method supports memory restoration in patients with Alzheimer's or dementia through synchronized stimulation and pharmacological stabilization of microtubule structures.
Claims7
A system for detecting quantum-like cognition in a human subject, comprising:
- a neural imaging module configured to collect brain activity data via EEG, fMRI, or MEG;
- a machine learning model trained on quantum coherence signatures to identify and classify patterns of cognition;
- and a signal processing module configured to translate imaging data into phase-locked coherence metrics.
A method of enhancing quantum-like cognition in a human subject, comprising:
- applying targeted neurostimulation based on detected quantum coherence;
- and providing neurofeedback in a closed-loop system controlled by an adaptive AI model.
A method of improving memory retrieval in patients with Alzheimer's or dementia, comprising:
- detecting impaired coherence states;
- applying patterned stimulation to restore synchronization;
- and administering a pharmacological agent that stabilizes neural microtubule structures.
Dependencies are inferred from the claim text.