Critical Dynamics and Cyclic Memory Retrieval in Non-reciprocal Hopfield Networks
arXiv:2501.00983 · doi:10.21468/SciPostPhys.19.4.100
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.
References in corpus (13)
- Limit cycle phase in driven-dissipative spin systems
- Mean-field message-passing equations in the Hopfield model and its generalizations
- Nonreciprocal Ising model
- Universal phenomenology at critical exceptional points of nonequilibrium models
- Driven-dissipative Ising Model: An exact field-theoretical analysis
- Nonequilibrium Criticality at the Onset of Time-Crystalline Order
- Controlled asymmetric Ising model implemented with parametric micromechanical oscillators
- Generalized hetero-associative neural networks
- Giant non-reciprocity and gyration through modulation-induced Hatano-Nelson coupling in integrated photonics
- Feasibility study of the observation of the neutrino accompanied double beta-decay of Ge-76 to the 0+(1) excited state of Se-76 using segmented germanium detectors
- Quantum Hopfield Model with Dilute Memories
- Nonequilibrium universality of the nonreciprocally coupled model
- Networks of neural networks: more is different