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March 17, 20260 citationsOpen Access

VERA Neural Intelligence: A Behavioral Architecture for Nervous-System-Based Decision and Regulation Systems.

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ELEva Leka

Key Points

  • The aim is to develop a behavioral architecture that leverages nervous system dynamics for enhanced decision-making and regulation.
  • Introduced a multi-layer design analyzing conversation context and micro behavioral signals.
  • Investigated biological drivers and adaptive survival codes within the framework.
  • Explored applications in mental health and emotional regulation.
  • Identified deeper behavioral drivers behind human responses compared to traditional emotional AI systems.
  • Proposed a framework for AI that supports nervous system regulation and improves decision clarity.

Abstract

VERA Neural Intelligence introduces a behavioral reasoning architecture designed to interpret human nervous system dynamics and adaptive survival patterns in decision environments. Current emotional AI systems primarily rely on sentiment analysis and categorical emotional detection. These approaches provide limited insight into deeper behavioral drivers underlying human responses. VERA proposes a multi layer architecture that analyzes conversation entry context, micro behavioral signals, biological drivers, adaptive survival codes, and latent behavioral positioning to generate guidance designed to support nervous system regulation and improved decision clarity. The framework represents an early research exploration into nervous system informed artificial intelligence systems and their applications in mental health support, emotional regulation, and complex human decision environments.

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Cite This Study

Eva Leka (2026) studied this question.

synapsesocial.com/papers/69b8f10fdeb47d591b8c5d35https://doi.org/10.5281/zenodo.19026981
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