# 3D Gaussian Splatting
**Entity class:** Rendering method
**Domain:** Computer Graphics / Neural Rendering / Scene Reconstruction
**Doc Type:** Canonical Technology Node
**Maturity:** Established research method
**Primary source article:** [[articles/The Closed-Loop Gaussian Sensorium Engine|The Closed-Loop Gaussian Sensorium Engine]]
**Collection:** [[collections/Neurotech|Neurotech]]
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## Definition
**3D Gaussian Splatting (3DGS)** is a scene-reconstruction and novel-view-synthesis method introduced by Kerbl and colleagues in 2023. It represents a scene with anisotropic three-dimensional Gaussian primitives and renders them through a visibility-aware splatting process optimized for high-quality real-time display.
## Role in the sensorium architecture
[[articles/The Closed-Loop Gaussian Sensorium Engine|The Closed-Loop Gaussian Sensorium Engine]] uses 3DGS in two roles: as an external visualization method for a model's current scene belief and as a differentiable forward model that can participate in optimization. The article extends its primitive grammar—position, covariance, color, opacity-like weight, and temporal persistence—into the proposed [[wiki/Gaussian Perceptual Field|Gaussian Perceptual Field]].
## Evidence boundary
3DGS is an established graphics method. Its use as a renderer or optimization component in a perceptual BCI is a proposed integration. Similarity between Gaussian scene primitives, receptive-field models, and phosphene maps does not establish that visual cortex literally runs the 3DGS algorithm.
## Relationships
- **Rendering component of:** [[wiki/Closed-Loop Gaussian Sensorium Engine|Closed-Loop Gaussian Sensorium Engine]].
- **Machine-side representation:** [[wiki/Gaussian Perceptual Field|Gaussian Perceptual Field]].
- **Optimization target for:** [[wiki/Perceptual Attractor Seeding|Perceptual Attractor Seeding]].
- **Broader contexts:** [[wiki/Digital Twin|Digital Twin]], [[wiki/World Modeling|World Modeling]], and [[wiki/Predictive Processing|Predictive Processing]].
- **Governance consequence when coupled to neural write-paths:** [[wiki/Perceptual Sovereignty|Perceptual Sovereignty]].
## Sources and provenance
- [Kerbl, Kopanas, Leimkühler, and Drettakis, “3D Gaussian Splatting for Real-Time Radiance Field Rendering” (ACM Transactions on Graphics / SIGGRAPH 2023)](https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/) — primary paper, project page, and implementation route.
- [[articles/The Closed-Loop Gaussian Sensorium Engine|The Closed-Loop Gaussian Sensorium Engine]] — source of the neurotechnology integration and cortical-analogy boundary.