Consolidation Gating and Noise Robustness in Adaptive Memory Systems

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Authors: Gabriel Aubin-Morneau
Cited by: 0

Abstract

Paper 4 derives the stability–plasticity constraint governing adaptive memory dynamics. It introduces the consolidation gate, a mechanism that allows information to enter long-term structure only after a period of stability. This gating process protects the system from noise while preserving the ability to update under genuine signal. The resulting trade-off explains why systems without proper gating suffer from catastrophic forgetting or unstable learning.

Fields of Study & Subjects

Memory and Neural Mechanisms Neural Networks and Applications Advanced Memory and Neural Computing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 March 2026
Language
EN