Pre-Registered Prediction: φ/ρ Phenotype Classification in EEG Data
Abstract
1. BackgroundConsciousness Gradient Theory (CGT) proposes that sustainable coherence in complex systems requires bothintegration (φ) and adaptation (ρ) in balance. The Coherence-Gradient Index (CGI) combines these as:CGI = √(φ × ρ)This document pre-registers specific predictions about how the φ/ρ ratio classifies phenotypes in existing EEGdata, before the analysis is conducted.
Fields of Study & Subjects
Neural dynamics and brain function
EEG and Brain-Computer Interfaces
Complex Systems and Dynamics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026
- Document type
- Preprint