Memory Bandwidth as a Function of Turnover Rate

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Authors: Gabriel Aubin-Morneau
Cited by: 0

Abstract

Paper 2 establishes the second constraint governing adaptive memory systems: the bandwidth limit on memory updates. In substrates where memory units undergo replacement or turnover, the rate at which new information can be incorporated into persistent representations is bounded by the turnover rate relative to memory lifetime. This result links adaptive learning speed to structural renewal processes and explains why systems with insufficient turnover cannot track rapidly changing inputs.

Fields of Study & Subjects

Neural Networks and Applications Cognitive Computing and Networks Memory and Neural Mechanisms

Publication details

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