NeuroLumen & Organic Artificial Intelligence (OAI/IAO): A Humanistic–Biological Framework for Cognitive Reorganization
This independent PhD-level research thesis presents the conceptual, theoretical, and humanistic foundations of NeuroLumen Therapy and Organic Artificial Intelligence (OAI/IAO).Developed entirely by Gracio Marinho Sobral, this work integrates neuroscience, cognitive science, neurodiversity studies, emotional translation models, biological computation, and ethical AI frameworks to propose a new paradigm for understanding human cognition. The thesis introduces two original theoretical architectures: 1. NeuroLumen Framework A humanistic and narrative-centered therapeutic model focused on emotional translation, perceptual clarity, cognitive accompaniment, and the preservation of identity. It reinterprets internal states not as deficits, but as meaningful physiological signals. 2. Organic Artificial Intelligence (OAI/IAO) A biologically inspired computational architecture grounded in connectomics, epigenetic modulation, interoception, quantum cognitive mapping, and bio-digital symbiosis.This model emphasizes non-destructive cognitive reorganization, soft mediation, and the protection of narrative identity. Additional Contributions of the Thesis A new clinical-humanistic terminology for ADHD and Autism based on U.S. neurodiversity standards A comparative framework replacing deficit-based language with ethically aligned cognitive trajectories An integrated glossary of key concepts An evidence-aligned rationale supported by contemporary neuroscience, epigenetics, neuromorphic engineering, organoid intelligence, and ethical AI literature Purpose of the Work This thesis offers a comprehensive and ethically grounded theoretical foundation for future research in cognitive science, mental health, neurodiversity, and human-centered artificial intelligence. It is intended for researchers, clinicians, technologists, and interdisciplinary scholars exploring new ways to understand the mind without pathologizing diversity.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-25
- DOI
- https://doi.org/10.5281/zenodo.17714597
- Primary Topic
- Neuroethics, Human Enhancement, Biomedical Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.00