The Computational Architecture of the Self: An Integrative Framework for Investigating Subjective Experience through Connectomics, Neurochemistry, and Computational Neuroscience

This article presents an integrative and multi-scale framework for investigating the subjective self and consciousness.

The work moves beyond localizationist thinking and proposes an explicit synthesis of three crucial domains:

• Connectomics: Large-scale structural network topology.
• Neurochemistry: The dynamics of neuromodulatory systems that reconfigure network states.
• Computational Neuroscience: The integration of prominent theories such as Global Workspace Theory, Predictive Processing, and Integrated Information Theory.

The paper critically examines the explanatory gap between computational models and phenomenological experience and analyzes the physical and chemical mechanisms underlying the sense of human agency. The proposed framework establishes methodological extensions to neural decoding of spontaneous thought and outlines specific experimental protocols for future investigation , providing a roadmap for an integrative science of consciousness.