ELICIT
ELICIT is the empirical research program of Forged Lucidity. Where the theoretical framework (Networked Perspectival Realism) makes a structural claim — that coherence is the measurable signature of integrated information processing — ELICIT tests that claim against real data, across independent domains, using established signal processing methods.
The core question: Does the coherence signature predicted by Cx = Φ × C² appear reliably across different substrates? If coherence is fundamental, it should be detectable wherever information integrates — not only in neural tissue, but in any system exhibiting coordinated dynamics.
The ELICIT Coherence Operator
ELICIT detects coordinated dynamics across multiple signal types simultaneously. Rather than tracking individual biomarkers in isolation, it measures how signals relate to each other as an integrated system. The methodology identifies when complex systems maintain — or lose — coherent behavior under perturbation.
A measurable marker for identifying phase transitions in time-series data — the point at which integrated coherence degrades toward critical states. In cardiovascular applications, this provides a detection window before individual vital signs cross clinical thresholds.
Seven Independent Data Domains
The coherence signature has been tested across seven substrates selected for their independence: if the signal appears reliably across domains that share no common mechanism, the finding is unlikely to be an artifact of any single measurement approach.
Electroencephalographic Coherence
EEG gamma-band synchronization patterns during conscious state transitions, including anesthesia induction and emergence. Coherence degrades predictably with loss of integrated processing.
Cardiovascular Signal Integration
Heart rate variability, arterial pressure waveforms, and respiratory sinus arrhythmia analyzed as a coupled dynamical system. Coherence between signals degrades before individual parameters cross clinical alarm thresholds.
Solar Wind — Magnetospheric Coupling
Coherence signatures in the interaction between solar wind perturbations and Earth's magnetospheric response, using publicly available space weather data.
Power Grid Frequency Dynamics
Electrical grid frequency deviations analyzed as a complex adaptive system maintaining coherent operation under load perturbation. Grid coherence degrades in measurable patterns preceding instability events.
Tectonic Stress — Coherence Patterns
Seismological data analyzed for coherence signatures in pre-event stress accumulation and post-event relaxation dynamics.
Collective Behavioral Synchronization
Population-scale behavioral data analyzed for emergent coherence patterns during large-scale perturbation events.
Biophotonic Emission Coherence
Ultra-weak photon emission from biological tissue analyzed for coherence patterns correlated with metabolic and conscious state changes.
The cross-domain replication strategy serves as ELICIT's primary robustness check. Each domain was selected to be mechanistically independent of the others. A coherence signature that appears in neural, cardiovascular, geophysical, and infrastructure data simultaneously cannot be explained by any single-domain artifact.
From IIT to PCI to ELICIT
ELICIT's methodology has a published, peer-reviewed lineage. The measurement principle — detecting system-level coherence response to perturbation — was clinically validated by Tononi's group as the Perturbational Complexity Index (PCI).
PCI reliably distinguishes conscious from unconscious states by measuring the complexity of cortical response to TMS perturbation (Casali et al., Science Translational Medicine, 2013; Casarotto et al., 2016). It works at the individual patient level using induced perturbation and EEG recording.
ELICIT extends this principle in two directions: (1) from individual to population scale, and (2) from induced perturbation to natural perturbation events (solar wind disturbances, seismic events, grid disruptions). The structural methodology is parallel; the scale and data sources differ.
Clinical Research Readiness
- ✓ CITI Human Subjects Certification — All modules completed March 2026 (Belmont Report, HIPAA, COI, Vulnerable Populations)
- ✓ Research Design — Retrospective cohort study (Level 3 evidence), with pathway to prospective cohort (Level 2) through funded clinical collaboration
- ✓ Data Access — MIMIC-IV clinical database via PhysioNet Data Use Agreement. De-identified, IRB-compliant, consent waiver pathway established
- ✓ IRB Pathway — Retrospective design classified as minimal risk. No prospective enrollment, no living subject contact in current phase
- ✓ Intellectual Property — Patent portfolio filed January 2026 (10 provisional applications covering the measurement methodology, signal processing architecture, and clinical applications)
Cardiovascular Digital Twins
The most immediate clinical application of ELICIT's coherence measurement is in validating cardiovascular digital twins — computational models that simulate an individual patient's cardiovascular dynamics in real time.
The gap ELICIT addresses: a digital twin can reproduce individual hemodynamic parameters accurately while failing to capture the coordinated behavior between them. A model that gets heart rate, blood pressure, and respiratory rate right individually but misses their integrated dynamics is not a faithful twin. ELICIT provides the validation metric: does the twin's integrated coherence signature match the patient's?
The spectral exponent analysis adds a predictive dimension. If coherence degradation can be detected before individual vital signs cross clinical alarm thresholds, the digital twin becomes predictive rather than merely descriptive — providing a window for clinical intervention that conventional monitoring misses.
Where we are. Where we are going.
ELICIT is an active research program. The cross-domain methodology is developed and has been applied across all seven substrates. We are in the retrospective validation phase, working with existing clinical databases and publicly available geophysical and infrastructure data.
We are seeking funded clinical collaboration to advance from retrospective (Level 3 evidence) to prospective cohort validation (Level 2), and to apply the cardiovascular coherence measurement in clinical settings where the predictive value of early coherence degradation detection can be tested against patient outcomes.
Confidence calibration: the theoretical framework maintains 45% confidence in literal truth. The empirical methodology is independent of the theoretical framework's truth — coherence measurement works regardless of whether NPR's metaphysical claims are correct. The signal processing is testable on its own terms.