English

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}
}