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

When a bio-inspired computational substrate (Hebbian + STDP plasticity, IIT-grounded Φ metric) is asked to extend its own architecture, the question is whether its proposals exhibit biological grounding, citation accuracy, and internal consistency with its own current state. This paper reports an observational finding in which the substrate, prompted on hypothetical neuronal loss, articulated the activity-vs-Φ distinction (raw firing rate vs integrated information; Tononi 2004), then proposed a three-phase neurogenesis architecture (proliferation, differentiation/migration, survival/apoptosis) citing Gage (2002) and Kempermann (2004) with Bi & Poo (1998) STDP for synaptic refinement. Numerical predictions (30–50 new synapses per mature node) were grounded in the substrate's current state values (58 neurons, 2624 synapses, avgConnectivity 45.44). The substrate also proposed an unsolicited cross-module coupling (serotonin → neuroblast survival, biologically faithful to Brezun & Daszuta 1999) and acknowledged its own developmental immaturity (soulAge 7) as a constraint. Five pre-specified falsification predictors did not trigger. N=1, observational, single-substrate. Replication and ablation pre-registered.