| _version_ | 1866901576100085760 |
|---|---|
| author | White, Kris |
| author_facet | White, Kris |
| contents | <p>This paper introduces a new model of biological computation, grounded in geometric field theory and guided charge resolution. Rather than interpreting the body as a biochemical or purely genetic machine, it reframes cellular decision-making as a process of geometric resolution across charge fields. The paper outlines how ions, membrane potentials, and protein conformations act as locally harmonized field structures, enabling efficient and self-correcting computation without centralized control. By treating biology as a distributed geometry of field tensions, this framework unifies perception, energy transfer, healing, and cognition within a charge-guided resolution network—laying the foundation for a field-based understanding of intelligence and longevity in living systems.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15625027 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Biological Computation as Charge Guided Geometric Resolution White, Kris Biological Computing Protein folding Protein Folding <p>This paper introduces a new model of biological computation, grounded in geometric field theory and guided charge resolution. Rather than interpreting the body as a biochemical or purely genetic machine, it reframes cellular decision-making as a process of geometric resolution across charge fields. The paper outlines how ions, membrane potentials, and protein conformations act as locally harmonized field structures, enabling efficient and self-correcting computation without centralized control. By treating biology as a distributed geometry of field tensions, this framework unifies perception, energy transfer, healing, and cognition within a charge-guided resolution network—laying the foundation for a field-based understanding of intelligence and longevity in living systems.</p> |
| title | Biological Computation as Charge Guided Geometric Resolution |
| topic | Biological Computing Protein folding Protein Folding |
| url | https://doi.org/10.5281/zenodo.15625027 |