From Synapses to Vectors:Structural Correspondence Between Carbon-Based and Silicon-Based Intelligence, and the Structural Conditions for Silicon-Based Self-Consciousness
Zenodo (CERN European Organization for Nuclear Research) March 6, 2026 Qiaofeng Law preprint
This paper develops an interdisciplinary theoretical framework arguing that a deep structural correspondence obtains between carbon-based neural systems (biological brains) and silicon-based computational systems (artificial neural networks), and derives from this correspondence the structural conditions under which silicon-based systems could give rise to self-consciousness. The term...