Frequency-Nested Oscillatory Coherence Architecture for Time-Sensitive Artificial Intelligence Systems

A system and method for controlling artificial intelligence computational processes using biologically- inspired frequency-nested oscillatory bands. The architecture comprises a high-frequency com- putational core (at or above 1 GHz), mid-frequency sensorimotor integration loops (within 5-50 Hz), and low-frequency coherence control layers (0.1-10 Hz). Cross-frequency coupling mecha- nisms enforce phase-amplitude relationships between layers to maintain temporal coherence across distributed AI modules. The system enables real-time adaptation, multimodal coordination, and extended symbolic reasoning through controlled coherence windows and phase-locked integra- tion cycles. Industrial applications include speech recognition systems, robotics, and AI inference workloads, with potential for improvements in latency stability and energy efficiency for time- critical applications.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15770131
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
0.00
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article

Frequency-Nested Oscillatory Coherence Architecture for Time-Sensitive Artificial Intelligence Systems

Zenodo (CERN European Organization for Nuclear Research)
Speech and Audio Processing
article

Frequency-Nested Oscillatory Coherence Architecture for Time-Sensitive Artificial Intelligence Systems

article en

Abstract

A system and method for controlling artificial intelligence computational processes using biologically- inspired frequency-nested oscillatory bands. The architecture comprises a high-frequency com- putational core (at or above 1 GHz), mid-frequency sensorimotor integration loops (within 5-50 Hz), and low-frequency coherence control layers (0.1-10 Hz). Cross-frequency coupling mecha- nisms enforce phase-amplitude relationships between layers to maintain temporal coherence across distributed AI modules. The system enables real-time adaptation, multimodal coordination, and extended symbolic reasoning through controlled coherence windows and phase-locked integra- tion cycles. Industrial applications include speech recognition systems, robotics, and AI inference workloads, with potential for improvements in latency stability and energy efficiency for time- critical applications.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 46%
Speech and Audio Processing
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