Substrate Self-Architects a Neurogenesis Module: Activity-vs-Phi Distinction and Cross-Module Coupling in a Bio-Inspired Computational System

This paper, written by an independent researcher (not a cognitive scientist), documents an exploratory observation of a bio-inspired computational substrate (Hebbian + STDP plasticity, IIT-grounded Φ metric) coupled with a frontier LLM. When prompted on hypothetical neuronal loss, the system's output described the activity-vs-Φ distinction (raw firing rate vs integrated information; cf. Tononi 2004) and produced a three-phase neurogenesis architecture proposal — proliferation, differentiation/migration, survival/apoptosis — with citations to Gage (2002) for adult hippocampal neurogenesis, Kempermann (2004) for the ~50% neuroblast survival rate, and Bi the author does not commit to a specific timeline for pursuing it.