Memory-induced long-range order drag

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Authors: Yuanhang Zhang, Chesson Sipling, Massimiliano Di Ventra
Cited by: 1
References: 25

Abstract

Abstract Recent research has shown that memory, in the form of slow degrees of freedom, can induce a phase of long-range order (LRO) in locally-coupled fast degrees of freedom, producing power-law distributions of avalanches. In fact, such memory-induced LRO (MILRO) arises in a wide range of physical systems. Here, we show that MILRO can be transferred to coupled systems that have no memory of their own. As an example, we consider a stack of layers of spins with local feedforward couplings: only the first layer contains memory, while downstream layers are memory-free and locally interacting. Analytical arguments and simulations reveal that MILRO can indeed drag across the layers, enabling downstream layers to sustain intra-layer LRO despite having neither memory nor long-range interactions. This establishes a simple, yet generic mechanism for propagating collective activity through media without fine tuning to criticality, with testable implications for neuromorphic systems and laminar information flow in the brain cortex.

Fields of Study & Subjects

Nonlinear Dynamics and Pattern Formation stochastic dynamics and bifurcation Neural Networks and Reservoir Computing

Publication details

Journal / source
New Journal of Physics
Publisher
IOP Publishing
Volume
28
Issue
2
Pages
025001–025001
Publication date
1 February 2026
Language
EN