Subconscious Pattern Echo Theory (SPET): A Recursive Neural Framework for Intuition, Déjà Vu, and Low-Energy Dream Cognition

This paper introduces the Subconscious Pattern Echo Theory (SPET) — a neuroscience-rooted framework that mathematically explains phenomena like gut feeling, déjà vu, and dream irrationality. SPET proposes that the human brain operates as a recursive prediction engine, constantly comparing current sensory-emotional states to stored memory patterns in the subconscious. When a match is detected, it triggers emergent feelings like intuition or familiarity. Using real neuroanatomical references (insula, ACC, vagus nerve) and computational models (Kalman gain, cosine similarity, sigmoid thresholds), SPET translates subjective experiences into measurable, testable systems. The paper also introduces an Interoceptive Sensitivity Index (ISI) and presents potential use-cases for trauma recovery, AI emotion modeling, and dream simulation. This work bridges gaps between neuroscience, AI architecture, and emotional cognition , offering practical algorithms, biological correlations, and research pathways.