Holographic Projection Memory: A Minimal Engine and Theoretical Framework

This archive contains the minimal implementation of Holographic Projection Memory (HPM), a novel geometric memory architecture designed for continual learning, projection-based reasoning, and spatially structured updates.

 

The package includes:

- A lightweight, fully differentiable engine (MinimalHPM) written in PyTorch

- Theoretical documentation covering all aspects of the HPM mechanism

- Six documented experiments demonstrating Delta-Learning, semantic drift, conflict resolution, and spontaneous memory restoration

 

Unlike classical memory systems or transformer-style attention, HPM operates over a continuous vector field, probed via directional rays and locally updated through spatially weighted kernels. This framework allows for fast local adaptation, protection from catastrophic forgetting, and associative generalization.

 

All experiments are reproducible and fully documented, including source code, mathematical definitions, and visualizations of memory dynamics.

 

The Holographic Projection Memory repository: https://github.com/MnemoWare/CogniRay