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The brain as a self-monitoring system: Recursive instability and AI-augmented control | Synapse
March 3, 2026
The brain as a self-monitoring system: Recursive instability and AI-augmented control
CN
Charles Okanda Nyatega
QL
Qiang Li
Tianjin University
MA
Mohammed Jajere Adamu
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Key Points
Self-monitoring plays a crucial role in maintaining control under conditions of recursive instability, and AI can enhance this process.
Findings suggest that integrating AI with self-monitoring systems improves feedback loops and overall stability.
Analysis combines theoretical insights with practical implications from AI-augmented control systems and brain function.
Highlights the potential for AI tools to assist in managing complex control situations in dynamic environments.
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Nyatega et al. (Tue,) studied this question.
synapsesocial.com/papers/69a760a7c6e9836116a2d9c6
https://doi.org/https://doi.org/10.1016/j.mehy.2026.111897
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