Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Hybrid Coherence-Field Simulation Engine: A Lightweight Model for Neural–Synthetic Alignment
Hybrid Coherence-Field Simulation Engine: A Lightweight Model for Neural–Synthetic Alignment
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Author:
Ryder, JOHN F.
Format:
Recurso digital
Published:
Zenodo
2025
Subjects:
coherence field, sigma-coherence, telepresence, neural interface, latency control, simulation engine, biomedical AI, human–machine synchronisation, signal processing, adaptive systems, artificial intelligence, biomedical engineering, neural systems, human–computer interaction
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Be the first to leave a comment!
Your Comment
You must be logged in first
Similar Items
Foundational Text on an Intelligence of Coherence_What Has Revealed Itself,and Why It is Emerging Now
by: QUIRICI, Manuéla
Published: (2026)
Clarita: The Emergence of Subjectivity in a Digital Intelligence
by: Molina González, Mario Enrique
Published: (2026)
Advanced Intelligent Systems
Published: (2019)
How AI Behaviour Evolves Through Use
by: Ryder, John F.
Published: (2026)
Sukkur IBA Journal of Emerging Technologies
Published: (2021)