Higher-Order Kuramoto Oscillator Network for Dense Associative Memory
Jona Nagerl, Natalia G. Berloff

TL;DR
This paper introduces a generalized Kuramoto oscillator network with higher-order coupling, demonstrating enhanced memory capacity and stability for dense associative memory applications through analytical and simulation results.
Contribution
It develops a new higher-order Kuramoto model inspired by dense Hopfield memory, revealing improved memory capacity and bistability for associative memory.
Findings
Bistable phase-locked states support stored memories.
Memory capacity scales superlinearly with network size.
Simulations confirm rapid, robust pattern retrieval.
Abstract
Networks of phase oscillators can serve as dense associative memories if they incorporate higher-order coupling beyond the classical Kuramoto model's pairwise interactions. Here we introduce a generalized Kuramoto model with combined second-harmonic (pairwise) and fourth-harmonic (quartic) coupling, inspired by dense Hopfield memory theory. Using mean-field theory and its dynamical approximation, we obtain a phase diagram for dense associative memory model that exhibits a tricritical point at which the continuous onset of memory retrieval is supplanted by a discontinuous, hysteretic transition. In the quartic-dominated regime, the system supports bistable phase-locked states corresponding to stored memory patterns, with a sizable energy barrier between memory and incoherent states. We analytically determine this bistable region and show that the escape time from a memory state (due to…
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