What are the necessary and sufficient conditions for consciousness to arise in a physical system? This paper presents the Multi-Scale Temporal Resonance Theory (MSTRT), a framework arguing that consciousness emerges from temporally structured resonance across multiple spatial and temporal scales — from ion channel dynamics to whole-brain network topology. MSTRT builds directly upon and substantially extends the Dendritic Integration Theory (DIT; Aru, Suzuki, & Larkum, 2020) and the apical amplification (AA) framework (Phillips, Bachmann, & Storm, 2018). Its principal novel contributions are threefold. First, it provides an explicit mechanistic account of how the BAC firing cycle in Layer 5 pyramidal neurons intrinsically generates θ-γ phase-amplitude coupling, grounding a widely observed network-level oscillatory signature in single-cell biophysics. Second, it introduces a computable composite index — CSDI₂.₀, composed of structural (FRP), dynamic (EDRR), and structure-dynamics alignment (Match₂.₀) components — designed to quantify a system's capacity for conscious processing. Third, it proposes six substrate-independent minimal functional specifications (MFS-1–6) and a concrete three-layer minimal conscious system architecture, offering a pathway toward computational simulation and empirical falsification. The paper also provides a systematic necessity analysis of content domains (sensory input, memory, motivation), concluding that only ultra-short temporal buffering (~200–250 ms) may be strictly necessary for minimal consciousness. MSTRT adopts a "process structuralist" philosophical position, arguing that consciousness requires neither structure alone nor function alone, but the right dynamic process-structure. The framework is positioned as falsifiable, quantitative, and open to cross-disciplinary scrutiny. Keywords: consciousness, temporal resonance, phase-amplitude coupling, BAC firing, apical amplification, dendritic integration, theta-gamma coupling, Layer 5 pyramidal neurons, minimal conscious system, CSDI, substrate independence
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YH Tiu (Tue,) studied this question.
www.synapsesocial.com/papers/69d894326c1944d70ce051ad — DOI: https://doi.org/10.5281/zenodo.19455631
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