Unified General Connectivity Theory of Neural Emergence and Repair

Human brain organoids — three-dimensional neural tissues derived from pluripotent stem cells — have revealed an extraordinary capacity for self-organisation, recapit- ulating key features of early human neurodevelopment including cortical layering, ventricular zones, radial glia scaffolds, and functional oscillatory networks. These phenomena suggest that neural matter possesses intrinsic rules of connectivity and coherence that drive emergent architecture under suitable boundary conditions. Gen- eral Connectivity (GC) is a theoretical framework that formalises such behaviour: it describes how matter, fields, and constraints interact to produce coherent, multi- scale organisation. In this paper, we develop a unified GC-based theory of neural emergence in brain organoids, connect this to human cognitive uniqueness and future neurotechnologies, and extend the same principles to neural repair via spinal organoid bridges. We develop, from first principles, a GC coherence field theory for neural tissue, a Kuramoto oscillator model of neural synchronisation connecting to the GC consciousness framework, a reaction-diffusion model of morphogen gradients, a percolation theory of critical connectivity, and a GC-based model of neural stem cell differentiation. The Appendix presents a full GC-based neuromorphic spinal repair model, in which spinal organoid bridges act as living, coherence-guided connectors that restore spike-based communication across severed spinal segments. We further develop connections to the Hinductor neurodynamics framework, the GC healing frequency framework, and the consciousness-time duality. Together, the main paper and Appendices constitute a comprehensive theoretical foundation for GC-driven neural emergence and repair, with direct implications for regenerative medicine, neuromorphic engineering, and the future of human neurotechnology