Flow version of statistical neurodynamics for oscillator neural networks

► We propose a model of the differential equation of oscillator neural networks. ► This is in the class of the Hebbian autoassociation models without sparse coding. ► Each of the network elements is described with phase and amplitude variables. ► The statistical formula for the macroscopic dynamics of the model is derived. ► Using the formula, we try to explain the retrieval-nonretrieval transition.