Xue Shuyue, Maghrebi Mohammad, Mias George I, Piermarocchi Carlo
Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA.
Department of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, Michigan 48824, USA.
ArXiv. 2025 Jan 2:arXiv:2501.00983v1.
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.
我们研究了具有非互易耦合的霍普菲尔德网络,这种耦合会引发记忆模式之间的切换。在无记忆检索阶段、多个点吸引子的检索阶段和极限环吸引子阶段之间会发生动态相变。极限环阶段由两个临界区域界定:一条霍普夫分岔线和一条折叠分岔线,每条线都有独特的动态临界指数和对扰动的敏感性。主方程方法通过数值验证了分析预测的临界行为。我们讨论了这些网络如何能够模拟在通过多步转变演化的循环不稳定性临界阈值附近的生物过程。