FCLT Prediction of Elevated Phi-Convergence in Highly Superior Autobiographical Memory (HSAM) Neural Architecture

Highly Superior Autobiographical Memory (HSAM) is a rare condition in which individuals recall autobiographical events with near-perfect accuracy across decades, without the use of mnemonic strategies. Neuroimaging studies have identified structural and functional differences in HSAM brains, including increased white matter anisotropy in the parahippocampal gyrus and forceps major, enlarged posterior pallidum, and enhanced hippocampal-prefrontal connectivity. The Fibonacci Causal Loop Theory (FCLT) proposes that necessity recursion S(n) = S(n-1) + S(n-2) drives biological systems toward phi-structured organizational configurations, with higher necessity depth corresponding to higher phi-convergence. Paper 02 of the FCLT series demonstrated that neural phi-convergence scales with encephalization across 38 vertebrate species (r = 0.907, p < 0.0001). This pre-registration extends that prediction to within-species variation: HSAM individuals represent the high-necessity-depth tail of normal human neural organization, and should therefore show significantly elevated phi-convergence in memory-critical neural architectures compared to neurotypical controls. Three specific, falsifiable predictions are stated here prior to any data analysis.