SNT Seven-Operator Framework for Neural Dynamics – NoC Edition Description and Summary of Changes --- Description This is the Neuroscience of Consciousness (NoC) Edition of the manuscript "SNT Seven-Operator Framework for Neural Dynamics: Simulation, Calibration, and Empirical Validation on the C. elegans Connectome". This version represents the final submission to Neuroscience of Consciousness (Oxford University Press). All sections have been revised, expanded, and formatted according to the journal's requirements. The manuscript has been converted from LaTeX to Microsoft Word (. docx) with all mathematical equations, tables, and figures preserved. --- Key Differences from Previous Versions Consciousness Connection: Previous versions had only brief mentions of consciousness. The NoC Edition includes a full Section 8 with detailed mapping to Global Workspace Theory, Integrated Information Theory, and the Free-Energy Principle. Falsifiable Predictions: Previous versions contained only one prediction (PC1 overshoot). The NoC Edition includes three pre-registered falsifiable predictions: stochastic PC1 convergence, homeostatic disruption and loss of metastability, and Φ elevation in the Balanced Kernel. Key Contributions: Expanded from 5 to 6 items, adding explicit mapping of all seven operators to consciousness theories with three pre-registered falsifiable predictions. References: Increased from 19 to 24 references, adding key consciousness literature including Baars (2005) on Global Workspace Theory, Dehaene and Changeux (2011) on neural ignition, Tognoli and Kelso (2014) on metastable brain, Bayne et al. (2016) on levels of consciousness, and Koch et al. (2016) on neural correlates of consciousness. Keywords: Expanded from 30 to over 35 keywords, adding Global Workspace Theory, consciousness, and falsifiable predictions. New Table: A new Table 4 maps all seven SNT operators to their consciousness-relevant functional roles, linking each operator to ignition, broadcast, Φ substrate, and prediction error minimization. Abstract: The abstract now ends with "explicit connections to leading theories of consciousness" instead of "full transparency of limitations. " Conclusion: Expanded from 6 to 7 key results, adding the consciousness bridge as a distinct finding. Format: Converted from LaTeX (PDF) to Microsoft Word (. docx) per journal requirements. Highlights file with 5 bullet points added as separate submission. --- Major New Content in NoC Edition Section 8: Consciousness and the SNT Seven-Operator Framework is entirely new. It includes five subsections: C. elegans as a Model for Minimal Consciousness, Mapping the Seven Operators to Consciousness-Relevant Dynamics, Integrated Information (Φ) and the SNT Framework, Relationship to the Free-Energy Principle, and Falsifiable Predictions for Consciousness Research. Three Pre-Registered Falsifiable Predictions are now explicitly stated. First, replacing deterministic motor command with a stochastic signal matched to Kato noise statistics is predicted to reduce PC1 from 80. 8 percent to 35-45 percent. Second, removing the homeostatic soft-clamp is predicted to collapse the Kato correlation from 0. 986 to below 0. 80 and destroy metastable attractor dynamics. Third, PyPhi sub-network analysis of the AVA/AVB/RIM circuit is predicted to yield higher integrated information (Φ) under Balanced Kernel dynamics than under the Wilson-Cowan baseline. Table 4 provides a complete mapping of all seven SNT operators to their consciousness-relevant functional roles. The Fluctuating operator sustains metastability. The Cyclic Reset operator enables discrete state transitions analogous to neural ignition. The Phase Nexter operator implements global workspace broadcast. The Phase Reverser operator provides the bistability required for conscious perception. The Liminal Projection operator implements the ignition threshold of Global Workspace Theory. The Irreversible Loss operator constrains integration and prevents unbounded Φ inflation. The Subspace Mapping operator builds the integrated informational structure associated with Φ in Integrated Information Theory. --- Summary of Key Results The Balanced SNT Kernel achieves a variance spectrum correlation of r = 0. 986 against the Kato et al. whole-brain calcium imaging dataset, exceeding the Wilson-Cowan baseline of r = 0. 937 with 86 times fewer parameters. Adding a motor-command Phase Nexter operator increases PC1 variance from 42. 3 percent to 80. 8 percent, recovering the dominant locomotor axis of whole-brain dynamics. The operator produces physiologically correct circuit responses: AVB-motor correlation is +0. 857 for forward command, and AVA-motor correlation is -0. 700 for reversal command. A Lie algebraic analysis demonstrates that the seven operators form a closed algebra at machine precision of 4. 82 times 10 to the power of minus 15, proving why exactly seven operators arise from the C. elegans wiring diagram. All seven operators are explicitly mapped to Global Workspace Theory, Integrated Information Theory, and the Free-Energy Principle. --- File List for NoC Edition The main manuscript is in Microsoft Word format (. docx) as SNTSevenOperatorFrameworkNoC. docx. Highlights are provided as a separate file with 5 bullet points. Two figures are included: Figure 1 shows the variance spectrum comparison, and Figure 2 shows the Lie algebra closure. A cover letter with reviewer suggestions is also included. --- Citation If citing this version, please use: Yazır, D. (2026). SNT Seven-Operator Framework for Neural Dynamics: Simulation, Calibration, and Empirical Validation on the C. elegans Connectome (Neuroscience of Consciousness Edition). Submitted to Neuroscience of Consciousness. --- Notes This version is formatted per Neuroscience of Consciousness author guidelines. All data are public: Cook et al. 2019 connectome and Kato et al. 2015 calcium imaging. Code is available upon request. No funding to report. --- Corresponding author: Durhan Yazır (durhanyazir@gmail. com)
Durhan Yazir (Tue,) studied this question.