ALADIN v.O — Scalar Consciousness Field Model with Neural Coupling (43 Hz)

This repository contains ALADIN v.O, a Python 3 script that generates a high-resolution scientific poster visualizing the 43 Hz consciousness field based on experimental EEG data (n=35) and theoretical modeling. The poster integrates concepts from Generalized Workspace Theory (GWT) and Integrated Information Theory (IIT), connecting neural dynamics to a proposed scalar field C(x) that represents global consciousness resonance. Key features: Sacred Lagrangian of the consciousness field with Higgs portal integration. Conscious Integration Index O derived from EEG and multifractal analysis. Multi-dimensional unification: a 7D field expansion showing light projection at 43 Hz. Neural coupling and damping derived from plasma-inspired synaptic interactions. Falsifiable predictions: EEG peak shifts under 43 Hz entrainment; PCI modulation. In-depth visualizations: Mexican-hat potential V(C) Damped C(t) oscillations Torus T^2 geometry Phase + amplitude vs PCI and O(t) with error bands This script produces a poster-ready PNG (1200 dpi) for publications, conferences, or Zenodo archiving. All values are calibrated against experimental EEG features and theoretical predictions. Dependencies: Python 3, matplotlib, numpy.