HLV-CONSCIOUSNESS-BRIDGE1 Path-Encoded Self-State Dynamics in Open Systems: From Phase-Memory Kernels to Embodied Consciousness
Zenodo (CERN European Organization for Nuclear Research) July 6, 2026 DOI: 10.5281/zenodo.21225836 (opens in new tab) via OpenAlex
Summary
AI-generated from the abstractThis manuscript proposes a conservative framework linking consciousness to complex information dynamics in biological brains, without claiming that matter is conscious or that the universe knows its future. The authors argue that open systems can carry path-encoded self-state information through phase history, coupling history, and memory effects. In simple systems, this is just path dependence, but in brains, such dynamics can become embodied, recursive, and self-referential. They define consciousness as a high-complexity regime of geometrically organized, phase-coherent, embodied information dynamics with memory and self-reference. They use the Spiral-Time triad as an operational decomposition and treat EEG data as signal-channel evidence, not proof. They specify a forward programme of simulations and experiments to test against null models.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Consciousness Embodied cognition Dynamics music Simple philosophy Path computing |
| Key finding | Proposes that consciousness is a candidate high-complexity regime of geometrically organized, phase-coherent, embodied information dynamics with memory and self-reference, and that the framework is scientific only if locked tests outperform null models. |
Abstract
This manuscript develops a conservative consciousness-bridge layer for the Helix-Light-Vortex (HLV) and Spiral-Time programme. The central claim is not that HLV proves consciousness, that matter is conscious, or that the universe literally knows its future. The proposed claim is narrower: open systems can carry path-encoded self-state information through phase history, coupling history, environmental records, hysteresis, and finite-memory effects. In simple physical systems this is not subjective experience; it is path dependence. In biological brains, however, path-encoded dynamics can become embodied, recursive, memory-bearing, and self-referential through sensory processing, synaptic plasticity, recurrent loops, attention, prediction, action, and self-modelling. We therefore formulate consciousness as a candidate high-complexity regime of geometrically organized, phase-coherent, embodied information dynamics with memory and self-reference. The Spiral-Time triad is used only as an operational decomposition: U1 denotes current state flow, U2 phase/coherence organization, and U3 finite memory or history-dependent modulation of present dynamics. The manuscript incorporates the EEG/observable-projection lineage of the ∆Φ operator, including the OP7-Neuro CHB03 pilot result, but treats these data as signalchannel and bridge-stress evidence only. They do not constitute proof of consciousness, quantum process-tensor non-Markovianity, brain biophoton memory storage, or HLV ontology. A forward programme is specified for simulations and experiments: multi-subject OP7-Neuro replication, U3 memory-ablation tests, process-tensor-inspired EEG controls, open-quantum-system toy models, robotics self-state experiments, and education/human-transformation studies. The framework is scientific only if these locked tests outperform information-only, coherence-only, memory-free, self-reference-free, and embodiment-free null models.