Critical Dynamics and Cyclic Memory Retrieval in Non-reciprocal Hopfield Networks
Disordered Systems and Neural Networks
2025-10-21 v1 Statistical Mechanics
Biological Physics
Molecular Networks
Abstract
We study Hopfield networks with non-reciprocal coupling inducing switches between memory patterns. Dynamical phase transitions occur between phases of no memory retrieval, retrieval of multiple point-attractors, and limit-cycle attractors. The limit cycle phase is bounded by two critical regions: a Hopf bifurcation line and a fold bifurcation line, each with unique dynamical critical exponents and sensitivity to perturbations. A Master Equation approach numerically verifies the critical behavior predicted analytically. We discuss how these networks could model biological processes near a critical threshold of cyclic instability evolving through multi-step transitions.
Keywords
Cite
@article{arxiv.2501.00983,
title = {Critical Dynamics and Cyclic Memory Retrieval in Non-reciprocal Hopfield Networks},
author = {Shuyue Xue and Mohammad Maghrebi and George I. Mias and Carlo Piermarocchi},
journal= {arXiv preprint arXiv:2501.00983},
year = {2025}
}