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| Format: | Recurso digital |
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Zenodo
2025
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| Accès en ligne: | https://doi.org/10.5281/zenodo.17593235 |
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- <p>This technical note presents a lightweight simulation engine that models real-time coherence between biological-like and synthetic signals without relying on neural-spike data. The system generates fast alpha-band activity and a slower physiological-surrogate signal, applies band-pass noise reduction, and computes three coherence measures — σ_neural, σ_slow, and σ_total — using mathematical logic introduced in the <em>Laniakea Coherence Model</em> (Ryder 2025, DOI 10.5281/zenodo.17415499).</p> <p>The accompanying Python package demonstrates how multi-timescale field alignment can stabilise telepresence and adaptive-interface systems while remaining entirely non-invasive and simulation-only. The architecture can be extended to future research in telemedicine, prosthetics, and human-computer synchronisation.</p> <p>This record forms the Tier-1 public summary. A full technical manuscript has been submitted to <strong>IEEE</strong> for peer review (2025). Proprietary hardware details and equations retained for patent filing are intentionally omitted.</p> <p><strong>© 2025 John F. Ryder – All rights reserved (public disclosure only)</strong><br><strong>Author:</strong> John F. Ryder (Drive-In s.r.o.)<br><strong>Contact:</strong> <a href="mailto:john@driveinsolution.com" rel="noopener">john@driveinsolution.com</a></p>