Memory Bandwidth as a Function of Turnover Rate
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