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This repository represents the first structured release of the ECEPJ V2.0 framework, focused on temporal stability as a core principle of brain function.

The central idea is simple but powerful:

👉 Neural systems are defined not just by activity, but by how long that activity persists and remains coherent over time.

This version introduces three key elements:

• NeuroByte ACW-50 → a practical implementation of intrinsic timescales (30–500 ms window)
• Pz-centered quantification → with a stable reference state observed around Pz ≈ 0.72
• Trigger Velocity (v_T) → capturing the rate of drift toward instability

Together, these form a continuous signal of temporal stability, enabling:

• early detection of neural drift
• quantification of stability vs. instability states
• a foundation for predictive and closed-loop systems

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⚠️ Important Note

This is a research framework and prototype implementation.
The models, thresholds, and interpretations are under active development and require further validation.

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🚀 Next Steps

• Validate against public EEG datasets
• Compare against standard metrics (power, entropy, ACW baselines)
• Expand real-time processing and visualization
• Integrate with hardware for closed-loop experimentation

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🤝 Collaboration

Feedback, critique, and collaboration are welcome—especially from:

• neuroscience
• signal processing
• AI / machine learning
• neurotechnology

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⚡ Closing Thought

We are not just measuring what the brain does.

We are beginning to measure how long it can sustain stability.