Nano-Cybernetic Behavioral Regulator

The Nano-Cybernetic Behavioral Regulator (NCBR) represents a transformative leap in neuro-engineering, integrating advanced memristive physics with biometric artificial intelligence to achieve autonomous behavioral homeostasis. At the heart of this innovation is a high-fidelity Neuromorphic Interface utilizing a graphene-based substrate combined with a nanometer-scale Hafnium Oxide (HfO_2) Memristive Gate. This architecture allows the device to function as a physical hardware-level activation function, replacing the computational lag of traditional software with a solid-state switching speed of 1.84 Microsecond by positioning this system within the Thalamic relay, the NCBR treats the brain's neural architecture as a dynamic Graph Neural Network (GNN), where it acts as a decisive hidden layer for signal rectification and stabilization. The operational intelligence of the NCBR is governed by a Stochastic Adaptive Calibration (SAC) protocol, which utilizes the 3-Sigma statistical rule to establish a personalized healthy baseline for each user. This ensures that the system remains transparent during normal cognitive function but executes an instantaneous voltage clamp when pathological outliers—such as dopamine surges exceeding 120 pg/mL—are detected

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-15
DOI
https://doi.org/10.5281/zenodo.18644856
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Nano-Cybernetic Behavioral Regulator

Maged Khamisi
Zenodo (CERN European Organization for Nuclear Research)
Advanced Memory and Neural Computing
article

Nano-Cybernetic Behavioral Regulator

Maged Khamisi
article en

Abstract

The Nano-Cybernetic Behavioral Regulator (NCBR) represents a transformative leap in neuro-engineering, integrating advanced memristive physics with biometric artificial intelligence to achieve autonomous behavioral homeostasis. At the heart of this innovation is a high-fidelity Neuromorphic Interface utilizing a graphene-based substrate combined with a nanometer-scale Hafnium Oxide (HfO_2) Memristive Gate. This architecture allows the device to function as a physical hardware-level activation function, replacing the computational lag of traditional software with a solid-state switching speed of 1.84 Microsecond by positioning this system within the Thalamic relay, the NCBR treats the brain's neural architecture as a dynamic Graph Neural Network (GNN), where it acts as a decisive hidden layer for signal rectification and stabilization. The operational intelligence of the NCBR is governed by a Stochastic Adaptive Calibration (SAC) protocol, which utilizes the 3-Sigma statistical rule to establish a personalized healthy baseline for each user. This ensures that the system remains transparent during normal cognitive function but executes an instantaneous voltage clamp when pathological outliers—such as dopamine surges exceeding 120 pg/mL—are detected

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Advanced Memory and Neural Computing
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