Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- EEG PARADOX HYBRID MODEL – GPLv3 LICENSED FRAMEWORK
- ====================================================
- SUMMARY
- -------
- This is a GPLv3 licensed, full-spectrum EEG/Neurofeedback hybrid interpretation and modulation model developed under the EEG Paradox project. It integrates advanced mathematical analysis, symbolic phenotyping, real-time closed-loop neuromodulation, and AI-enhanced interpretation. This model is designed to be software-agnostic and supports global usage across all major EEG acquisition systems and amplifiers, including but not limited to BioExplorer, OpenBCI, BrainMaster, Mitsar, Thought Technology, NeuroField, and more.
- MODEL FEATURES
- --------------
- ✅ GLOBAL COMPATIBILITY:
- • Amp + software agnostic (EDF/CSV/BDF/NG/QEEG formats supported)
- • Real-time and post-hoc analysis
- • Modular integration with Python, R, MATLAB, and OpenBCI SDKs
- ✅ KEY ALGORITHMIC MODULES:
- • Phase-Amplitude Coupling (PAC) Mapping
- • Phase Locking Value (PLV), Phase Lag Index (PLI)
- • Real-time Z-Score Streaming with Cross-Nodal Tracking
- • Coherence, Cross-Frequency Coupling (CFC), DFA, Fractal Dimension
- • Entropy (Shannon, Sample, Permutation)
- • Cortical Hub Detection + Graph Theory Mapping
- ✅ AI + GPT-ENHANCED INTERPRETATION:
- • Real-time feedback reporting (EEG Paradox Rapid Reporter)
- • Symbolic overlay narratives (Jungian + Gunkelman phenotypes)
- • Live attention/arousal tagging
- • Behavioral timestamp sync (e.g., trauma, fog, disassociation)
- ✅ CLOSED-LOOP ENTRAINMENT:
- • Adaptive feedback: Audio, visual, tactile
- • Resonant entrainment via phase-synced pulse modulation
- • GPL-controlled safe waveform library (binaural, isochronic, modulated pink)
- ✅ ARTIFACT RECOGNITION + INTEGRITY AUDITS:
- • EMG, ECG, blink, saccade, jaw
- • Null-trend detection for flatline & DC offset
- • Compression artifacts (real-time FFT signature matching)
- ✅ NEUROPHENOTYPE MAPS:
- • Swingle inspired 23 marker narrative mapping
- • Gunkelman inspired EEG phenotype classification
- • Fisher-style trauma-archetype alignment
- • Archetypal personality embeddings (symbolic models)
- ✅ RESEARCH + OPEN SCIENCE MODULES:
- • Export to JSON/CSV/LaTeX
- • Live public dashboard streaming (optional)
- • Full GPLv3 rights to replicate, fork, or improve
- LICENSING + PROTECTION
- -----------------------
- All modules, symbolic overlays, computational routines, and derivative logic released under:
- GNU GENERAL PUBLIC LICENSE v3 (GPLv3)
- • You may use, modify, and redistribute with attribution
- • Derivative works MUST maintain GPLv3 compatibility
- • Commercial use allowed ONLY under GPL terms
- By incorporating this framework, you agree to maintain transparency, integrity, and open science ethics.
- AUTHOR NOTE
- -----------
- Created and expanded publicly by El_Chaderino provide tools built from functional evidence and symbolic depth.
- Last Updated: July 2025
- #EEGParadox #GPLNeurotech #OpenSourceEEG #SymbolicNeuro #PACMapping #Neurofeedback
Advertisement
Add Comment
Please, Sign In to add comment
