Adaptive Neural Continuity Protocol: Real-Time Compensation for Progressive Hippocampal Neurodegeneration
Abstract
This research presents the Continuity Protocol, a computational framework designed to preserve cognitive information integrity during progressive hippocampal decay. Using a 1,500-neuron spiking neural network in the Nengo environment, we demonstrate real-time signal restoration with \approx 1.0 accuracy. The dataset includes: Full Technical Paper (PDF). Source Code (Python/Nengo). Simulation Video showing the 29s terminal decay cycle.
Fields of Study & Subjects
Memory and Neural Mechanisms
Neural dynamics and brain function
Cognitive Computing and Networks
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 20 January 2026
- Language
- EN
- Document type
- Preprint