Finite-Capacity Working Memory as a Constraint-Driven Dynamical System
Abstract
This preprint introduces a constraint-based dynamical model of working memory under finite capacity. The formulation explicitly models capacity boundaries using a non-smooth potential and subdifferential dynamics. The framework emphasizes structural reallocation mechanisms rather than neural implementation details.
Fields of Study & Subjects
Neural dynamics and brain function
Cognitive Computing and Networks
Cognitive Abilities and Testing
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 March 2026
- Language
- EN
- Document type
- Preprint