Research Instrumentation · Phase 1
Interactive Model: Mechanical Restriction and Afferent Signal Fidelity
This model is a simplified, exploratory representation of the working hypothesis under investigation at Rex Autistikōn Labs: that chronic mechanical restriction within eight sensor-rich myofascial and visceral interfaces may attenuate and delay the afferent signals those interfaces generate, with downstream consequences for sensory precision and predictive processing.
Adjust the parameters below to see how tissue stiffness and viscosity change what the nervous system receives. Nothing here is a measurement; it is a way of making the hypothesis legible and testable.
Model parameters
Global tissue properties
Scales the selected baseline profile. Moving this resets any per-zone adjustments.
Rate of the mechanical event being sensed (0.05–300 Hz, logarithmic).
Elastic term. Higher stiffness reduces tissue deformation and receptor drive.
Damping term. Higher viscosity attenuates rapid events more than slow ones.
Model visualisation and readouts
Systemic network
Select a zone to inspect it
- Retained fidelity
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- Transmitted amplitude |H|
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- Effective precision πeff
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- Prediction error ε
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- Weighted error πε
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- Zone free energy F
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- Gradient ∂F/∂r
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Systemic summary
Eight zones scored 0–8 each · composite range 0–64
- Mean fidelity
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- Mean πeff
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- ΣF
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What this means
View underlying values for all eight zones
| Zone | fc (Hz) | r | MPA | |H| | Fidelity | πeff | ε | F |
|---|
How the model is computed
Each zone is represented as a Kelvin–Voigt viscoelastic element. Driving the element at angular frequency ω yields transmitted strain amplitude|H(ω)| = G₀ / √(G² + (ωη)²), normalised so an unrestricted zone responds fully to very slow events. Restriction r raises both stiffness and viscosity, with viscosity rising faster.
Effective sensory precision is modelled asπeff = (|H|² + c) / (1 + c). Prediction error ε is the difference between the unrestricted expectation and the current transmitted signal. Variational free energy follows asF = ½πε² − ½lnπ. The gradient ∂F/∂r indicates how strongly free energy responds to a change in mechanical restriction.
MPA–Zone scores map each zone’s restriction onto a 0–8 integer scale, giving a 0–64 composite intended for participant stratification. The values used here are illustrative parameter sets, not clinical measurements.
Methods & Version
- Version
- Phase 1.0 · July 2026
- Last updated
- 29 July 2026
- Model type
- Simplified Kelvin–Voigt viscoelastic network
- Zones
- Eight sensor-rich myofascial and visceral interfaces
Parameters represented:Restriction (r), stiffness multiplier (G), viscosity multiplier (η), and probe frequency. The Neurodivergent preset is an illustrative restriction profile, not measured clinical data.
What is computed:Transmitted amplitude |H|, retained fidelity relative to an unrestricted equivalent, effective sensory precision πeff, prediction error ε, variational free energy F, and the gradient ∂F/∂r. An MPA–Zone composite score (0–64) is derived for stratification purposes.
Limitations:This is a low-dimensional educational and hypothesis-communication model. It does not simulate full soft-tissue mechanics, fluid dynamics, or neural circuits. Parameter values are provisional. It is not validated against empirical measurements and must not be used for clinical decision-making.
Intended use:Research communication, educational exploration, and generation of testable predictions for future experimental work.