neosynaptex v0.2.0 — NFI Integrating Mirror Layer

What is neosynaptex?

Cross-domain γ-scaling coherence diagnostics for the Neuron7x Fractal Intelligence platform.

One file. One import. Four subsystems. Seven diagnostic mechanisms.

BN-Syn ──────┐
MFN+ ────────┤
PsycheCore ──┼──► neosynaptex.observe() ──► NeosynaptexState
mvstack ─────┘

Mechanisms

Mechanism	Output
Gamma scaling	per-domain γ + 95% bootstrap CI
Gamma dynamics	convergence rate dγ/dt toward γ=1.0
Universal scaling	permutation test p-value
Spectral radius	per-domain stability + condition number
Granger causality	directed influence graph
Anomaly isolation	which domain drags coherence down
Phase portrait	convex hull area + recurrence in (γ, sr) space
Resilience	return rate after METASTABLE departures
Modulation	bounded reflexive signal per domain

Phase system

INITIALIZING → METASTABLE ↔ CONVERGING
                    ↓              ↓
                DIVERGING → DEGENERATE
                    ↓
                COLLAPSING → DRIFTING

Phase transitions require 3 consecutive ticks (hysteresis).

Key metrics (demo output)

gamma_mean  = 1.030
coherence   = 0.946
sr          = 1.031
phase       = METASTABLE
verdict     = COHERENT

Quick start

pip install numpy scipy
python demo.py

Tests

python -m pytest test_neosynaptex.py -v
# 42 passed

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Author: Yaroslav O. Vasylenko — neuron7xLab
License: AGPL-3.0-or-later