SCFL Reference Implementation v1.0 — Standard Coherence Fidelity Layer: Python Measurement Framework for Consciousness Research
SCFL Reference Implementation v1.0 — Standard Coherence Fidelity Layer: Python Measurement Framework for Consciousness Research
This repository contains the reference Python implementation of the Standard Coherence Fidelity Layer (SCFL), a substrate-independent, theory-agnostic measurement framework for quantifying structural organization in systems that support conscious processes. The module implements four formally defined metrics: ∙ CF — Coherence Fidelity (Procrustes distance vs. baseline) ∙ DR — Drift Rate (KL-divergence slope over sliding windows) ∙ RI — Rupture Index (change-point detection at CF < θ_r = 0.3) ∙ RT — Recoverability Time (latency from rupture onset to CF + δ_r recovery) Biological embedding pipelines are provided for EEG/MEG, ECoG/LFP, fMRI, multi-unit recordings, and TMS-EEG perturbation studies. The implementation is compatible with the SciPy/scikit-learn stack and includes a self-test suite. Companion paper: Toward a Coherence-Based Measurement Framework for Consciousness Research — Standard Coherence Fidelity Layer (SCFL) | Ronald Brogdon | Upstream Coherence Measurement Stratum (UCMS)
coherence measurement · consciousness science · representational geometry · Procrustes distance · KL divergence · drift rate · rupture detection · recoverability · coherence fidelity · structural stability · manifold alignment · neural manifold · substrate-independent measurement · theory-agnostic measurement IIT · integrated information theory · global neuronal workspace theory · GNWT · predictive processing · higher-order theories · recurrent processing theory · attention schema theory · orchestrated objective reduction · Orch OR · quantum consciousness · temporal self-location theory · illusionism · panpsychism · biological naturalism EEG embedding · MEG embedding · ECoG · LFP · fMRI dynamic connectivity · multi-unit recording · TMS-EEG · perturbation complexity · PCI · Lempel-Ziv complexity · LZC · integrated information · causal density · decoding accuracy anesthesia · disorders of consciousness · minimally conscious state · unresponsive wakefulness syndrome · sleep stages · NREM · REM · psychedelics · perturbation studies · neural state space · population activity · GPFA · dimensionality reduction computational neurophenomenology · AI consciousness · transformer perturbation · artificial systems · cross-substrate comparison · adversarial collaboration · Cogitate · open science · falsifiable predictions SCFL · UCMS · Upstream Coherence Measurement Stratum · Ronald Brogdon · coherence physics
coherence measurement · consciousness science · representational geometry · Procrustes distance · KL divergence · drift rate · rupture detection · recoverability · coherence fidelity · structural stability · manifold alignment · neural manifold · substrate-independent measurement · theory-agnostic measurement IIT · integrated information theory · global neuronal workspace theory · GNWT · predictive processing · higher-order theories · recurrent processing theory · attention schema theory · orchestrated objective reduction · Orch OR · quantum consciousness · temporal self-location theory · illusionism · panpsychism · biological naturalism EEG embedding · MEG embedding · ECoG · LFP · fMRI dynamic connectivity · multi-unit recording · TMS-EEG · perturbation complexity · PCI · Lempel-Ziv complexity · LZC · integrated information · causal density · decoding accuracy anesthesia · disorders of consciousness · minimally conscious state · unresponsive wakefulness syndrome · sleep stages · NREM · REM · psychedelics · perturbation studies · neural state space · population activity · GPFA · dimensionality reduction computational neurophenomenology · AI consciousness · transformer perturbation · artificial systems · cross-substrate comparison · adversarial collaboration · Cogitate · open science · falsifiable predictions SCFL · UCMS · Upstream Coherence Measurement Stratum · Ronald Brogdon · coherence physics
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