A Universal Density × MA Model for Raw Qualia: On the Human Being as a Negentropy Engine

This preprint (Version 12, March 19 2026) presents a minimal, fully classical computational model for the emergence of raw qualia — the dynamic flow of subjective experience — in a low-energy brain (~20 W). We propose that the Neural Primitive layer generates raw qualia through a simple yet robust multiplicative operator: Q(t) = D_eff(t) × MA(t) where - D(t) is the current input connection density (0–1), - MA(t) is the historical assembly depth tracked as an ultra-slow moving average (astrocytic-scale consolidation), and - D_eff(t) incorporates Friston’s precision weighting. The model integrates: • Eric Kandel’s (2001) classic Aplysia sensitization experiments (short-term facilitation vs. long-term consolidation) • Dewa et al. (Nature 2025) on astrocytic multiday memory traces • Friston’s Free Energy Principle via precision weighting It reproduces dual-timescale dynamics, achieves 63.7% energy savings in routine mode while preserving phenomenal continuity, and satisfies elegant scale invariance (Q′ = λ² Q). Qualia is revealed as inherently relational and intersubjective — a real-time feedback loop between brain, world, and others. Thermodynamically, qualia-bearing systems function as local negentropy engines. At the level of raw qualia, the hard problem of consciousness is functionally dissolved: there is no static “feeling” to explain; qualia is the updating flow itself. Contents of this Zenodo deposit- Full preprint PDF (Universal_Density_MA_Model_v12.1.pdf)- Aplysia_Sensitization_Replication_v9.0_3.py — reproduces Kandel (2001) + Dewa et al. (2025)- Universal_RawQualiaDensityMA_v8.0.py — 5-day labile neuronal → astrocytic consolidation simulation- All high-resolution figures shown in the paper (phase transition map, theoretical phase space, hierarchical layers, multi-agent qualia flow, etc.) All code is under 100 lines, runs instantly on any computer or smartphone, and is deliberately brain-region agnostic. The framework is offered as an open, testable model for fMRI, EEG, and neuromorphic hardware experiments.