NeuroCore™: Mathematical Formalization
Abstract
Emergent Dynamical Regimes Architecture First public theoretical disclosure.This release formalizes the 7-layer multilayer conceptual structure for high-entropy flux analysis. It establishes the mathematical basis for regime identification (Layer 3) and state space partitioning (Layer 4), providing the empirical stability threshold (Kc ≈ 1.441). Emergent Dynamical Regimes in High-Entropy Flux. Layer Description Layer O Configuration space 𝑋 Layer 1 Flow / map 𝛷: 𝑋 → 𝑋 Layer 2 State evolution 𝑥(𝑡) = 𝛷(𝑥0 ) Layer 3 Basins / Regimes 𝛤 = {𝑥(𝑡)} Layer 4 Partition of space 𝑋 = 𝑈 ∪ 𝑋𝐾 Layer 5, Layer 6, Layer 7, Local dynamics (interactions within subspaces) Basins / regimes (conceptual diagrams). Measurable observables 𝑛, 𝐽, 𝑅 System Flow The system evolves according to a dynamical operator: Φ : X → X State Evolution x(t) = Φ(x0) where x0 ∈ X Regime / Basin Definition Γ = { x(t) } The trajectory forms basins of attraction representing emergent regimes. Partition of State Space The state space can be partitioned into regime subsets: X = U ∪ XK where U represents stable attractor regions XK represents critical or transition regions Observables The system dynamics can be described through measurable observables: n, J, R representing system-dependent measurable quantities extracted from the flux dynamics. Multilayer Conceptual Architecture Layer Description Layer 0 Configuration Space X Layer 1 Dynamical Flow Φ : X → X Layer 2 State Evolution x(t) = Φ(x0) Layer 3 Basins / Regimes Γ Layer 4 Partition of Space X = U ∪ XK Layer 5 Local dynamics within subspaces Layer 6 Regime diagrams / attractor structure Layer 7 Measurable observables n, J, R References Strogatz, S. – Nonlinear Dynamics and ChaosFriston, K. – The Free Energy PrincipleShannon, C. – A Mathematical Theory of Communication Authenticity & Intellectual Property.Statement: "This ecosystem is protected by a deterministic digital signature." Current build SHA-256: [6d59bd8d8f4c89ffb4d140f5b89c664798701b4cac8ae373aaaa71540a459116].
Fields of Study & Subjects
Complex Systems and Dynamics
Mathematical Dynamics and Fractals
Ecosystem dynamics and resilience
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 March 2026
- Language
- EN